Triple
T14277896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber Holt |
E353960
|
entity |
| Predicate | hasRomanticRelationshipWith |
P9994
|
FINISHED |
| Object |
Bob Little
Bob Little is a character from the television series "Parenthood," known as a mayoral candidate who becomes romantically involved with Amber Holt.
|
E1089215
|
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: Bob Little | Statement: [Amber Holt, hasRomanticRelationshipWith, Bob Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Little Context triple: [Amber Holt, hasRomanticRelationshipWith, Bob Little]
-
A.
Steve Little
Steve Little is an American actor and comedian known for his offbeat supporting roles in television comedies such as Eastbound & Down and The Grinder.
-
B.
Bill Marshall
Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
-
C.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
-
D.
Bob Kelso
Bob Kelso is a fictional, often sarcastic and bureaucratic chief of medicine on the television series "Scrubs."
-
E.
Greg Little
Greg Little is a film producer known for his work on animated features, including the sci-fi comedy "Escape from Planet Earth."
- 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: Bob Little Triple: [Amber Holt, hasRomanticRelationshipWith, Bob Little]
Generated description
Bob Little is a character from the television series "Parenthood," known as a mayoral candidate who becomes romantically involved with Amber Holt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Little Target entity description: Bob Little is a character from the television series "Parenthood," known as a mayoral candidate who becomes romantically involved with Amber Holt.
-
A.
Steve Little
Steve Little is an American actor and comedian known for his offbeat supporting roles in television comedies such as Eastbound & Down and The Grinder.
-
B.
Bill Marshall
Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
-
C.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
-
D.
Bob Kelso
Bob Kelso is a fictional, often sarcastic and bureaucratic chief of medicine on the television series "Scrubs."
-
E.
Greg Little
Greg Little is a film producer known for his work on animated features, including the sci-fi comedy "Escape from Planet Earth."
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6585270c8190a717127b2f5dab3b |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326f62b4819084b1e984678991ae |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33e6e930819088c7479dc49c1bcd |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3453f7cc81909b183a8df2f5159f |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:10 a.m.