Triple
T26935415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesseract |
E678363
|
entity |
| Predicate | prominentAppearanceFilm |
P38928
|
FINISHED |
| Object | Captain America: The First Avenger |
—
|
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: Captain America: The First Avenger | Statement: [Tesseract, prominentAppearanceFilm, Captain America: The First Avenger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prominentAppearanceFilm Context triple: [Tesseract, prominentAppearanceFilm, Captain America: The First Avenger]
-
A.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
B.
cultFilmAppearance
Indicates that an entity appears in, or is featured as part of, a cult film.
-
C.
madeFamousByFilm
chosen
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
D.
placementInFilm
Indicates the specific position or occurrence of something within the sequence or structure of a film.
-
E.
filmAppearanceType
Indicates the type or nature of a subject’s appearance in a film, such as a role, cameo, or other participation category.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:15 a.m.