Triple
T13582549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Worthy |
E324456
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Big Game James |
E324458
|
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: Big Game James | Statement: [James Worthy, nickname, Big Game James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Game James Context triple: [James Worthy, nickname, Big Game James]
-
A.
Big Game James
chosen
Big Game James is the nickname of James Worthy, the Hall of Fame Los Angeles Lakers forward renowned for his clutch performances in high-stakes NBA playoff games.
-
B.
Bing James
Bing James is an individual associated with a funeral, likely as a deceased person or a key participant in the ceremony.
-
C.
Jimmer
Jimmer is an American former professional basketball player best known for his prolific scoring at BYU and his long-range shooting ability.
-
D.
Mr. Basketball
Mr. Basketball is the nickname of George Mikan, the pioneering dominant center widely regarded as the NBA’s first true superstar.
-
E.
Earvin
Earvin is the given first name of Magic Johnson, the legendary American basketball player and NBA Hall of Famer.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbf946c8190ba3d2b87cb11dc9d |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.