Triple
T11431154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Time |
E270882
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tom McAdoo |
E658426
|
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: Tom McAdoo | Statement: [High Time, editedBy, Tom McAdoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom McAdoo Context triple: [High Time, editedBy, Tom McAdoo]
-
A.
Tom McAdoo
chosen
Tom McAdoo is a television editor known for his work on the reality dating series "Bachelor in Paradise."
-
B.
Jerry Sloan
Jerry Sloan was a Hall of Fame NBA head coach best known for leading the Utah Jazz to sustained success throughout the 1990s and 2000s.
-
C.
Red Holzman
Red Holzman was a Hall of Fame basketball coach best known for leading the New York Knicks to two NBA championships in the early 1970s.
-
D.
Dan D'Antoni
Dan D'Antoni is an American basketball coach and former player best known for his up-tempo, three-point–oriented offensive philosophy and long association with Marshall University and the NBA.
-
E.
Bob McAdoo
Bob McAdoo is an American Hall of Fame basketball player known for his prolific scoring in the 1970s NBA, winning an MVP award and multiple scoring titles.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8e212088190b611333d5de05757 |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.