Triple
T8835632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABA All-Time Team |
E210259
|
entity |
| Predicate | player |
P30628
|
FINISHED |
| Object | Red Robbins |
E108278
|
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: Red Robbins | Statement: [ABA All-Time Team, player, Red Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Robbins Context triple: [ABA All-Time Team, player, Red Robbins]
-
A.
Red Robbins
chosen
Red Robbins was a professional basketball player best known as a standout center in the American Basketball Association, including for his contributions to the Utah Stars.
-
B.
Eddie Bauer
Eddie Bauer is an American outdoor clothing and gear retailer known for its casual, adventure-oriented apparel and equipment.
-
C.
Lines Brothers
Lines Brothers was a major British toy manufacturer, best known for its Tri-ang brand, that also produced military equipment such as the Sten submachine gun during World War II.
-
D.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
E.
Lucky Brand
Lucky Brand is an American denim and casual apparel company best known for its vintage-inspired jeans and laid-back Southern California style.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898022c88190b7274350ce065f00 |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:47 p.m.