Triple
T37722440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christmas in July |
E939621
|
entity |
| Predicate | followsInSturgesCareer |
P171522
|
FINISHED |
| Object | The Great McGinty |
—
|
NE NERFINISHED |
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: The Great McGinty | Statement: [Christmas in July, followsInSturgesCareer, The Great McGinty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInSturgesCareer Context triple: [Christmas in July, followsInSturgesCareer, The Great McGinty]
-
A.
isFollowedByInCareer
chosen
Indicates that one person’s professional role, position, or career stage comes directly after another’s in sequence.
-
B.
hasNotableEarlyCareerAppearanceOf
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
-
C.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
D.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
E.
careerRuns
Indicates the total number of runs a player has scored over the entire duration of their professional career.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: May 3, 2026, 4:18 p.m.