Triple
T28492928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawson, New Mexico |
E721023
|
entity |
| Predicate | DoloresHuertaOccupation |
P164855
|
FINISHED |
| Object | labor leader |
—
|
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: labor leader | Statement: [Dawson, New Mexico, DoloresHuertaOccupation, labor leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DoloresHuertaOccupation Context triple: [Dawson, New Mexico, DoloresHuertaOccupation, labor leader]
-
A.
roleInJoséMartíCareer
Indicates that one entity served a particular function, position, or influence within the course of José Martí’s professional or political career.
-
B.
notableAlumnaOccupation
Indicates that the occupation specified is the professional role or career for a person who is a notable alumna of a particular institution.
-
C.
businessRoleOfJudyGarland
Indicates the specific business-related role or capacity that Judy Garland holds in relation to another entity or activity.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
VueltabajoKnownFor
Indicates that Vueltabajo is widely recognized or notable for a particular characteristic, product, or feature.
- F. None of above. chosen
Provenance (4 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 3:02 a.m.