Triple
T2189331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickell |
E49824
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jeff Nickell
Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
|
E324278
|
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: Jeff Nickell | Statement: [Nickell, hasNotableBearer, Jeff Nickell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Nickell Context triple: [Nickell, hasNotableBearer, Jeff Nickell]
-
A.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
B.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
C.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
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.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
- 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: Jeff Nickell Triple: [Nickell, hasNotableBearer, Jeff Nickell]
Generated description
Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Nickell Target entity description: Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
-
A.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
B.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
C.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
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.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf38f70081909f442eed226a282e |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f84713348190857e24a57a717cf9 |
completed | March 11, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69b1f8e5cdd08190840321d7ad1fe1e2 |
completed | March 11, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f968f17c81908b1e96f482546b80 |
completed | March 11, 2026, 11:23 p.m. |
Created at: March 4, 2026, 7:46 p.m.