Triple
T38071837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Winter Soldier |
E950604
|
entity |
| Predicate | mcuTitleRoleIn |
P161382
|
FINISHED |
| Object | Captain America: The Winter Soldier |
—
|
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 Winter Soldier | Statement: [The Winter Soldier, mcuTitleRoleIn, Captain America: The Winter Soldier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mcuTitleRoleIn Context triple: [The Winter Soldier, mcuTitleRoleIn, Captain America: The Winter Soldier]
-
A.
seriesTitleOfRole
Indicates that a given title is the name of the series associated with a particular role.
-
B.
MCURole
Indicates a role or function that an entity holds as a Master of Ceremonies (MC) within an event or context.
-
C.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
D.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
E.
workTitleOfCharacter
chosen
Indicates that the specified work (e.g., book, film, game) is the title in which the given character appears.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.