Triple
T28968969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benatar |
E734217
|
entity |
| Predicate | hasInteriorSet |
P123660
|
FINISHED |
| Object | cockpit set built for MCU films |
—
|
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: cockpit set built for MCU films | Statement: [Benatar, hasInteriorSet, cockpit set built for MCU films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorSet Context triple: [Benatar, hasInteriorSet, cockpit set built for MCU films]
-
A.
hasInteriorBehavior
Indicates that an entity exhibits a particular behavior or set of behaviors within its internal or enclosed space.
-
B.
hasInteriorItem
chosen
Indicates that one entity contains another entity as an item located within its interior.
-
C.
hasInteriorPeriod
Indicates that an entity includes or is associated with a specific time interval occurring within its overall duration.
-
D.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
E.
hasInteriorContentType
Indicates that something contains internal material or content of a specified type.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: April 28, 2026, 9:04 a.m.