Triple
T10358780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lawrence |
E244074
|
entity |
| Predicate | roleInSpartacus (1960 film) |
P1668
|
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: [Robert Lawrence, roleInSpartacus (1960 film), film editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSpartacus (1960 film) Context triple: [Robert Lawrence, roleInSpartacus (1960 film), film editor]
-
A.
roleInRome
Indicates that an entity holds or held a specific role, position, or function within the context of Rome or Roman society.
-
B.
roleInGallicWars
Indicates the role or involvement an entity had in the events or campaigns of the Gallic Wars.
-
C.
playedRoleIn
chosen
Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
-
D.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
-
E.
roleDuringMaccabeanRevolt
Indicates the specific role or function an entity held or performed during the period of the Maccabean Revolt.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:59 a.m.