Triple
T8213615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betsy Gotbaum |
E191880
|
entity |
| Predicate | notableOfficeScope |
P7602
|
FINISHED |
| Object | oversight of New York City agencies |
—
|
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: oversight of New York City agencies | Statement: [Betsy Gotbaum, notableOfficeScope, oversight of New York City agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOfficeScope Context triple: [Betsy Gotbaum, notableOfficeScope, oversight of New York City agencies]
-
A.
notableOfficeStartContext
Indicates the contextual circumstances or conditions (such as time, place, or situation) surrounding the beginning of a notable office or position held by an entity.
-
B.
officeScope
chosen
Indicates that a relationship, authority, or action is limited to, defined within, or applicable only in the context of a particular office or official position.
-
C.
notableOfficeStatus
Indicates that an entity holds or has held a particularly significant or distinguished official position or office.
-
D.
notabilityScope
Indicates the domain, field, or context within which something is considered notable or significant.
-
E.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76e1ffa081908883338e7d3a7c6d |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.