Triple
T37911556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Age of Apocalypse |
E945700
|
entity |
| Predicate | causeInFiction |
P122823
|
FINISHED |
| Object | Legion killing Charles Xavier in the past |
—
|
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: Legion killing Charles Xavier in the past | Statement: [Age of Apocalypse, causeInFiction, Legion killing Charles Xavier in the past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeInFiction Context triple: [Age of Apocalypse, causeInFiction, Legion killing Charles Xavier in the past]
-
A.
causeInStory
chosen
Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
fictionalBreakupCause
Indicates the reason or circumstance within a fictional narrative that leads to a breakup between characters.
-
D.
blamedForInFiction
Indicates that, within a fictional work, one entity is portrayed as being held responsible or at fault for an action, event, or outcome involving another entity.
-
E.
causeCélèbre
Indicates a relationship where an event, issue, or person becomes widely known and intensely debated or celebrated in public discourse.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 3, 2026, 4:20 p.m.