Triple
T23294390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Taylor |
E590122
|
entity |
| Predicate | touchdownType |
P55791
|
FINISHED |
| Object | game-winning touchdown pass reception |
—
|
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: game-winning touchdown pass reception | Statement: [John Taylor, touchdownType, game-winning touchdown pass reception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touchdownType Context triple: [John Taylor, touchdownType, game-winning touchdown pass reception]
-
A.
touchdownPoints
Indicates the number of points awarded to a team for successfully scoring a touchdown in a game.
-
B.
scoredTouchdownType
chosen
Indicates the specific manner or category of touchdown that was scored in a scoring event.
-
C.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
D.
scoredTouchdownIn
Indicates that an entity successfully achieved a touchdown during a specified game or event.
-
E.
GiantsOnlyTouchdownType
Indicates that the specified type of touchdown was scored exclusively by the Giants and not by any other team.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cdce7081908ca1cf9107b87f61 |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:02 p.m.