Triple
T32262995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Maison de Molière |
E824209
|
entity |
| Predicate | refersToOrganizationRole |
P4342
|
FINISHED |
| Object | state theater company |
—
|
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: state theater company | Statement: [La Maison de Molière, refersToOrganizationRole, state theater company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToOrganizationRole Context triple: [La Maison de Molière, refersToOrganizationRole, state theater company]
-
A.
refersToRole
chosen
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
B.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
C.
parentOrganizationRole
Indicates that an organization holds a specific role or position within a larger parent organization.
-
D.
awardingOrganizationRole
Indicates that an entity holds a specific role or capacity within the organization that grants or confers an award.
-
E.
keyOrganizationRole
Indicates that an organization holds a primary or defining role in relation to another entity or activity.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 1, 2026, 12:41 a.m.