Triple
T24227648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nini Salazar-Roberts |
E601637
|
entity |
| Predicate | roleInSchoolProduction |
P121011
|
FINISHED |
| Object | Gabriella Montez |
—
|
NE NERFINISHED |
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: Gabriella Montez | Statement: [Nini Salazar-Roberts, roleInSchoolProduction, Gabriella Montez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSchoolProduction Context triple: [Nini Salazar-Roberts, roleInSchoolProduction, Gabriella Montez]
-
A.
schoolRole
chosen
Indicates the specific function, position, or capacity an entity holds within a school context (e.g., student, teacher, administrator).
-
B.
roleInFilmProduction
Indicates the specific function or responsibility an entity has within the making of a film.
-
C.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
D.
roleInTheatreEcosystem
Indicates the specific function, responsibility, or position an entity holds within the interconnected system of theatre production, distribution, and audience engagement.
-
E.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated with another entity.
- 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287e11e188190bd257f24cb593039 |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:01 a.m.