Triple
T893837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Frazier |
E19298
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Frazier |
E100426
|
NE FINISHED |
How this triple was built (2 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: Frazier | Statement: [Walt Frazier, familyName, Frazier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frazier Context triple: [Walt Frazier, familyName, Frazier]
-
A.
Frazier
chosen
Frazier is a common English-language surname of Scottish and Irish origin, borne by various notable figures in sports, entertainment, and public life.
-
B.
Larry Holmes
Larry Holmes is an American former professional boxer best known as the long-reigning WBC and IBF heavyweight champion who successfully defended his title 20 times between 1978 and 1985.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Frederick Lee
Frederick Lee was a British Labour politician who served in several senior government roles, including as a cabinet minister in the mid-20th century.
-
E.
Tyson
Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c02772208190ac86dd885728e89c |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.