Triple
T3813578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015–16 NBA season |
E84194
|
entity |
| Predicate | tvPartnerUnitedStates |
P25739
|
FINISHED |
| Object | TNT |
E3614
|
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: TNT | Statement: [2015–16 NBA season, tvPartnerUnitedStates, TNT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TNT Context triple: [2015–16 NBA season, tvPartnerUnitedStates, TNT]
-
A.
TNT
chosen
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
B.
TNT
TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
-
C.
Nuke
Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
-
D.
T.N.T.
T.N.T. is a hard rock song and album by Australian band AC/DC, known for its explosive energy and anthemic chorus.
-
E.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef90ce3088190b82e8421ce9a4005 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3ddc1481909fd4a8befb8ece17 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:17 p.m.