Triple
T3524406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 World Series |
E74502
|
entity |
| Predicate | game2NotableEvent |
P49231
|
FINISHED |
| Object | Scott Podsednik hit a walk-off home run in Game 2 |
—
|
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: Scott Podsednik hit a walk-off home run in Game 2 | Statement: [2005 World Series, game2NotableEvent, Scott Podsednik hit a walk-off home run in Game 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: game2NotableEvent Context triple: [2005 World Series, game2NotableEvent, Scott Podsednik hit a walk-off home run in Game 2]
-
A.
notableFootballEvent
Indicates an event in football that is distinguished by particular significance, impact, or memorability within the sport.
-
B.
notableEventTeam
Indicates a team that is significantly associated with, or played a key role in, a particular notable event.
-
C.
notableGame
Indicates that a particular game is especially significant, prominent, or well-known in relation to the associated entity.
-
D.
notableEventResponse
Indicates a response, reaction, or consequence that occurs as a result of a notable event.
-
E.
notableEventInCareer
Indicates that a particular event is a significant or defining occurrence within an entity’s professional 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.