Triple
T9805849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Twyman |
E237950
|
entity |
| Predicate | assistsInNBA |
P90074
|
FINISHED |
| Object | 1780 |
—
|
LITERAL 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: 1780 | Statement: [Jack Twyman, assistsInNBA, 1780]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistsInNBA Context triple: [Jack Twyman, assistsInNBA, 1780]
-
A.
topAssistsAssistsPerGame
Indicates that the subject ranks among the top performers in terms of average assists made per game.
-
B.
MVPAssists
Indicates that one entity, recognized as the most valuable player (MVP), provides assistance or support to another entity in achieving a goal or outcome.
-
C.
assistsLeaderTeam
Indicates that an entity provides help or support to the leader’s team in carrying out its activities or responsibilities.
-
D.
scoredAssists
Indicates that one entity contributed an assist that led to another entity scoring (typically in a game or sports context).
-
E.
careerAssistsPerGame
Indicates the average number of assists a player records per game over the course of their entire career.
- F. None of above. chosen
Provenance (4 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7b67748190ba16ce868f29d13e |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.