Triple
T7499690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Fury |
E177224
|
entity |
| Predicate | mcuFirstAppearance |
P29367
|
FINISHED |
| Object | Iron Man (2008) post-credits scene |
—
|
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: Iron Man (2008) post-credits scene | Statement: [Nick Fury, mcuFirstAppearance, Iron Man (2008) post-credits scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mcuFirstAppearance Context triple: [Nick Fury, mcuFirstAppearance, Iron Man (2008) post-credits scene]
-
A.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
B.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
-
C.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
D.
firstAppearanceFor
chosen
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
E.
firstToyLineAppearance
Indicates the toy line in which an entity (such as a character or item) was first released or featured.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:44 p.m.