Triple
T23061660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Measure of a Man |
E574917
|
entity |
| Predicate | mainActorPlays |
P42172
|
FINISHED |
| Object | Vincent Lindon as an unemployed factory worker |
—
|
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: Vincent Lindon as an unemployed factory worker | Statement: [The Measure of a Man, mainActorPlays, Vincent Lindon as an unemployed factory worker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainActorPlays Context triple: [The Measure of a Man, mainActorPlays, Vincent Lindon as an unemployed factory worker]
-
A.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
-
B.
playsInRole
chosen
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
C.
playsAs
Indicates that one entity performs, portrays, or assumes the role, character, or persona of another entity.
-
D.
actorRole
Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
-
E.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.