Triple
T30713987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalia Alianovna Romanova |
E781970
|
entity |
| Predicate | mcuFirstAppearanceFilm |
P46983
|
FINISHED |
| Object | Iron Man 2 |
—
|
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: Iron Man 2 | Statement: [Natalia Alianovna Romanova, mcuFirstAppearanceFilm, Iron Man 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mcuFirstAppearanceFilm Context triple: [Natalia Alianovna Romanova, mcuFirstAppearanceFilm, Iron Man 2]
-
A.
mcuDebut
Indicates the work, appearance, or context in which a character or entity first appears within the Marvel Cinematic Universe.
-
B.
mcuNotableFilm
Indicates that the subject is a notable or significant film within the Marvel Cinematic Universe (MCU).
-
C.
marvelCinematicUniverseDebutFilm
chosen
Indicates the film in which an entity (such as a character or actor) first appeared within the Marvel Cinematic Universe.
-
D.
firstAppearanceFilm
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
-
E.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:35 p.m.