Triple
T26744165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunny Berigan |
E674346
|
entity |
| Predicate | primaryResidenceDuringCareer |
P30978
|
FINISHED |
| Object | New York City, New York, United States |
—
|
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: New York City, New York, United States | Statement: [Bunny Berigan, primaryResidenceDuringCareer, New York City, New York, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResidenceDuringCareer Context triple: [Bunny Berigan, primaryResidenceDuringCareer, New York City, New York, United States]
-
A.
residenceDuringCareer
chosen
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
B.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
C.
residenceAfterCareer
Indicates the place where an individual lives or settles after the conclusion of their professional career.
-
D.
residenceInWork
Indicates that an entity’s place of residence is located within or at the same site as their place of work.
-
E.
createdDuringResidenceIn
Indicates that something was created by an entity while that entity was residing in a particular place or location.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: April 27, 2026, 3:50 a.m.