Triple
T19045075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain America: The Winter Soldier (2014) film score |
E466109
|
entity |
| Predicate | underscores |
P109712
|
FINISHED |
| Object | action sequences |
—
|
LITERAL FINISHED |
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: action sequences | Statement: [Captain America: The Winter Soldier (2014) film score, underscores, action sequences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underscores Context triple: [Captain America: The Winter Soldier (2014) film score, underscores, action sequences]
-
A.
underlines
Indicates that one entity draws or applies a line beneath another entity, typically to emphasize or highlight it.
-
B.
designedToUnderscore
chosen
Indicates that something is intentionally created or arranged in order to emphasize, highlight, or draw special attention to another thing.
-
C.
underpins
Indicates that one entity serves as the fundamental basis, support, or justification for another.
-
D.
under
Indicates that one entity is positioned below or beneath another entity, often implying vertical alignment or coverage.
-
E.
underlies
Indicates that one entity serves as a fundamental basis, support, or underlying cause for another entity, condition, or phenomenon.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d803b2b08190b057d4b5bc555d4f |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.