Triple
T386341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan |
E8787
|
entity |
| Predicate | hasBoroughPresident |
P8977
|
FINISHED |
| Object |
Mark Levine
Mark Levine is an American politician and public servant who serves as the borough president of Manhattan in New York City.
|
E104631
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark Levine | Statement: [Manhattan, hasBoroughPresident, Mark Levine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Levine Context triple: [Manhattan, hasBoroughPresident, Mark Levine]
-
A.
Eric Friedman
Eric Friedman is an American entrepreneur best known as the co-founder and chief technology officer of the wearable fitness technology company Fitbit.
-
B.
Phillip Berman
Phillip Berman is a writer best known for coauthoring the spiritual and philosophical work "Reason for Hope: A Spiritual Journey" with primatologist Jane Goodall.
-
C.
Richard Appel
Richard Appel is an American television writer and producer best known for his work on animated series such as The Simpsons, King of the Hill, and Family Guy.
-
D.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
-
E.
Dan Mindel
Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mark Levine Triple: [Manhattan, hasBoroughPresident, Mark Levine]
Generated description
Mark Levine is an American politician and public servant who serves as the borough president of Manhattan in New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Levine Target entity description: Mark Levine is an American politician and public servant who serves as the borough president of Manhattan in New York City.
-
A.
Eric Friedman
Eric Friedman is an American entrepreneur best known as the co-founder and chief technology officer of the wearable fitness technology company Fitbit.
-
B.
Phillip Berman
Phillip Berman is a writer best known for coauthoring the spiritual and philosophical work "Reason for Hope: A Spiritual Journey" with primatologist Jane Goodall.
-
C.
Richard Appel
Richard Appel is an American television writer and producer best known for his work on animated series such as The Simpsons, King of the Hill, and Family Guy.
-
D.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
-
E.
Dan Mindel
Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec447b5481908a5a084787b44ced |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7bffe8a488190939b1a778db4f517 |
completed | March 4, 2026, 5:15 a.m. |
| NEDg | Description generation | batch_69a7c0bea40481908df44214da39135e |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c125de38819084897b25887dea0e |
completed | March 4, 2026, 5:20 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.