Triple
T2128788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambers |
E46486
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tom Chambers
Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
|
E237803
|
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: Tom Chambers | Statement: [Chambers, hasNotableBearer, Tom Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Chambers Context triple: [Chambers, hasNotableBearer, Tom Chambers]
-
A.
Roger Mills
Roger Mills is a name shared by several notable individuals, including American politicians and public figures.
-
B.
Lance Briggs
Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
-
C.
Greg Abbott
Greg Abbott is an American Republican politician and attorney who has served as the 48th governor of Texas since 2015.
-
D.
John H. Duncan
John H. Duncan was an American architect best known for designing prominent late-19th-century monuments and public structures, including New York’s Soldiers' and Sailors' Memorial Arch.
-
E.
John Cornyn
John Cornyn is a long-serving Republican U.S. Senator from Texas known for his leadership roles in the Senate and his focus on judicial, security, and intellectual property issues.
- 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: Tom Chambers Triple: [Chambers, hasNotableBearer, Tom Chambers]
Generated description
Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Chambers Target entity description: Tom Chambers is an American professional basketball player and four-time NBA All-Star known for his high-scoring ability during the 1980s and early 1990s.
-
A.
Roger Mills
Roger Mills is a name shared by several notable individuals, including American politicians and public figures.
-
B.
Lance Briggs
Lance Briggs is a former NFL linebacker best known for his long, Pro Bowl–caliber career with the Chicago Bears.
-
C.
Greg Abbott
Greg Abbott is an American Republican politician and attorney who has served as the 48th governor of Texas since 2015.
-
D.
John H. Duncan
John H. Duncan was an American architect best known for designing prominent late-19th-century monuments and public structures, including New York’s Soldiers' and Sailors' Memorial Arch.
-
E.
John Cornyn
John Cornyn is a long-serving Republican U.S. Senator from Texas known for his leadership roles in the Senate and his focus on judicial, security, and intellectual property issues.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7659f48190871cb27faf47e18a |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a36398819081df18cc18bc3456 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae528634608190bf10e3abf5a2c2d9 |
completed | March 9, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae536431bc8190b9f293d74046cb27 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.