Triple
T25643164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Bezos |
E642885
|
entity |
| Predicate | volunteerFor |
P48922
|
FINISHED |
| Object | Scarsdale Fire Department |
—
|
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: Scarsdale Fire Department | Statement: [Mark Bezos, volunteerFor, Scarsdale Fire Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volunteerFor Context triple: [Mark Bezos, volunteerFor, Scarsdale Fire Department]
-
A.
volunteeredFor
chosen
Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
-
B.
usesVolunteers
Indicates that an entity relies on or engages volunteers to perform its activities or services.
-
C.
volunteerLabel
Indicates that an entity is identified or tagged as a volunteer in relation to another entity or context.
-
D.
volunteerRequirement
Indicates that an entity has a condition or obligation specifying the need for volunteers or volunteer participation.
-
E.
typeOfVolunteerUnit
Indicates that one entity is a specific kind or category of volunteer unit in relation to 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faa22e7c81908af7fe96952bebe0 |
completed | May 2, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:48 p.m.