Triple
T7257887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erie County Executive |
E157768
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object |
Mark Poloncarz
Mark Poloncarz is an American politician and attorney who serves as the chief executive of Erie County, New York.
|
E651281
|
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 Poloncarz | Statement: [Erie County Executive, positionHeldBy, Mark Poloncarz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Poloncarz Context triple: [Erie County Executive, positionHeldBy, Mark Poloncarz]
-
A.
Ryan Poles
Ryan Poles is an American football executive who serves as the general manager responsible for overseeing roster construction and football operations for the NFL’s Chicago Bears.
-
B.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
C.
Matt Kolodzik
Matt Kolodzik is an American wrestler best known as a multiple-time All-American standout for Princeton University's wrestling program.
-
D.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
E.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
- 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 Poloncarz Triple: [Erie County Executive, positionHeldBy, Mark Poloncarz]
Generated description
Mark Poloncarz is an American politician and attorney who serves as the chief executive of Erie County, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Poloncarz Target entity description: Mark Poloncarz is an American politician and attorney who serves as the chief executive of Erie County, New York.
-
A.
Ryan Poles
Ryan Poles is an American football executive who serves as the general manager responsible for overseeing roster construction and football operations for the NFL’s Chicago Bears.
-
B.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
C.
Matt Kolodzik
Matt Kolodzik is an American wrestler best known as a multiple-time All-American standout for Princeton University's wrestling program.
-
D.
Marcus T. Paulk
Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
-
E.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa3d88081908f59ca5a85790290 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3b99af08190a28d77e7363edf45 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d48d7c948190b10ad0bf2f59bddc |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d517a7108190893878cbef7d1a3a |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:57 p.m.