Triple
T37717820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vision |
E939501
|
entity |
| Predicate | McuFirstAppearance |
P141957
|
FINISHED |
| Object | Avengers: Age of Ultron (2015 film) |
—
|
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: Avengers: Age of Ultron (2015 film) | Statement: [Vision, McuFirstAppearance, Avengers: Age of Ultron (2015 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: McuFirstAppearance Context triple: [Vision, McuFirstAppearance, Avengers: Age of Ultron (2015 film)]
-
A.
mcuDebut
chosen
Indicates the work, appearance, or context in which a character or entity first appears within the Marvel Cinematic Universe.
-
B.
MCUFamily
Indicates a familial relationship between entities within the Marvel Cinematic Universe (MCU), such as by blood, marriage, or adoption.
-
C.
marvelCinematicUniverseDebutFilm
Indicates the film in which an entity (such as a character or actor) first appeared within the Marvel Cinematic Universe.
-
D.
firstAppearanceMa
Indicates that an entity (such as a character or item) makes its first appearance in a specific manga.
-
E.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
- 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_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.