Triple
T7731162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael P. Shawver |
E175257
|
entity |
| Predicate | roleInBlackPanther |
P55759
|
FINISHED |
| Object | film editor |
—
|
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: film editor | Statement: [Michael P. Shawver, roleInBlackPanther, film editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBlackPanther Context triple: [Michael P. Shawver, roleInBlackPanther, film editor]
-
A.
roleInFilmEcosystem
chosen
Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
-
B.
roleDuringBlackHawkWar
Indicates the specific role, position, or function an entity held during the Black Hawk War.
-
C.
roleInNebula
Indicates that an entity holds a specific function, position, or involvement within a particular nebula.
-
D.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
-
E.
hasInUniverseRole
Indicates that an entity holds or performs a specific role or function within a particular fictional or defined universe.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.