Triple
T30871970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvel One-Shot: The Consultant |
E786364
|
entity |
| Predicate | archiveFootageCharacter |
P181441
|
FINISHED |
| Object | Tony Stark |
—
|
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: Tony Stark | Statement: [Marvel One-Shot: The Consultant, archiveFootageCharacter, Tony Stark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archiveFootageCharacter Context triple: [Marvel One-Shot: The Consultant, archiveFootageCharacter, Tony Stark]
-
A.
animatedCharacter
Indicates that an entity is a fictional character depicted through animation rather than live action.
-
B.
musicVideoCharacterName
Indicates that the predicate specifies the name of a character appearing in a music video.
-
C.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
D.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
- F. None of above. chosen
Provenance (4 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 29, 2026, 8:48 p.m.