Triple
T8736588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NBA All-Star Game |
E207400
|
entity |
| Predicate | finalScoreTeamDurant |
P84560
|
FINISHED |
| Object | 160 |
—
|
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: 160 | Statement: [2022 NBA All-Star Game, finalScoreTeamDurant, 160]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalScoreTeamDurant Context triple: [2022 NBA All-Star Game, finalScoreTeamDurant, 160]
-
A.
finalScoreTeamLeBron
Indicates the final score achieved by Team LeBron in a particular game or event.
-
B.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
-
C.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
D.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
E.
maximumScorePerDunk
Indicates the highest number of points that can be awarded for a single dunk action in the given context.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d44275881909f7eb40b24180294 |
completed | March 31, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc572d99bc819097f36b140c2ee1ce |
completed | March 31, 2026, 11:22 p.m. |
Created at: March 30, 2026, 6:38 p.m.