Triple
T36917069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Tech vs Michigan State |
E913071
|
entity |
| Predicate | MichiganStateHalftimeScore |
P149560
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Texas Tech vs Michigan State, MichiganStateHalftimeScore, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MichiganStateHalftimeScore Context triple: [Texas Tech vs Michigan State, MichiganStateHalftimeScore, 21]
-
A.
halftimeScore
Indicates the score or result of a game or match at the halfway point (halftime).
-
B.
Michigan StateScore
chosen
Indicates that a specified score is associated with Michigan State in a particular game or event.
-
C.
hasHalftime
Indicates that an event, typically a game or performance, includes a designated halftime interval between its main segments.
-
D.
IndianaSemifinalOpponent
Indicates that one entity is the opponent that another entity faced in a semifinal match held in Indiana.
-
E.
PackersHalftimeLead
Indicates that the Green Bay Packers are leading in score at halftime of a game.
- F. None of above.
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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:13 p.m.