Triple
T15599496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niecy Nash |
E374992
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jay Tucker
Jay Tucker is an American electrical engineer and television personality best known for his former marriage to actress and comedian Niecy Nash.
|
E1166598
|
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: Jay Tucker | Statement: [Niecy Nash, spouse, Jay Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Tucker Context triple: [Niecy Nash, spouse, Jay Tucker]
-
A.
Hal Tucker
Hal Tucker is a supporting character in the 1993 action thriller film "Cliffhanger," serving as a fellow mountain rescue worker and close friend of protagonist Gabe Walker.
-
B.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
C.
Mark Tucker
Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
-
D.
T. J. Tynan
T. J. Tynan is an American professional ice hockey forward known as one of the AHL’s elite playmakers and a multiple-time league MVP.
-
E.
Junior Tucker
Junior Tucker is a Jamaican reggae and gospel singer known for his smooth vocals and early success as a child star in the 1970s.
- 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: Jay Tucker Triple: [Niecy Nash, spouse, Jay Tucker]
Generated description
Jay Tucker is an American electrical engineer and television personality best known for his former marriage to actress and comedian Niecy Nash.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Tucker Target entity description: Jay Tucker is an American electrical engineer and television personality best known for his former marriage to actress and comedian Niecy Nash.
-
A.
Hal Tucker
Hal Tucker is a supporting character in the 1993 action thriller film "Cliffhanger," serving as a fellow mountain rescue worker and close friend of protagonist Gabe Walker.
-
B.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
C.
Mark Tucker
Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
-
D.
T. J. Tynan
T. J. Tynan is an American professional ice hockey forward known as one of the AHL’s elite playmakers and a multiple-time league MVP.
-
E.
Junior Tucker
Junior Tucker is a Jamaican reggae and gospel singer known for his smooth vocals and early success as a child star in the 1970s.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff581a25008190b7be08a93d798522 |
completed | May 9, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58ad35108190a0549d3d81e6851e |
completed | May 9, 2026, 3:54 p.m. |
Created at: April 10, 2026, 4:12 a.m.