Triple
T10067092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Tynes |
E213127
|
entity |
| Predicate | fieldGoalsMadeIn2007NFCChampionship |
P91918
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Lawrence Tynes, fieldGoalsMadeIn2007NFCChampionship, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldGoalsMadeIn2007NFCChampionship Context triple: [Lawrence Tynes, fieldGoalsMadeIn2007NFCChampionship, 3]
-
A.
positionInSuperBowlXXXVII
Indicates the specific role or standing an entity had in relation to Super Bowl XXXVII (e.g., participant, winner, or other defined position in that event).
-
B.
opponentInSuperBowlXXXVII
Indicates that one entity was the opposing team of the other entity in Super Bowl XXXVII.
-
C.
SuperBowlXXIXResult
Indicates the outcome of Super Bowl XXIX, specifying which team won or lost and possibly the final score or related game result details.
-
D.
SuperBowlXXXResult
Indicates the outcome or final result of the game played in Super Bowl XXX between the participating teams.
-
E.
interceptionsInSuperBowlXXXVII
Indicates the number of interceptions that occurred in Super Bowl XXXVII.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff63a4c8190bb08a0428aafa189 |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:58 p.m.