Triple
T37622572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libby Tucker |
E936109
|
entity |
| Predicate | residenceAtStartOfStory |
P98527
|
FINISHED |
| Object | Brooklyn |
—
|
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: Brooklyn | Statement: [Libby Tucker, residenceAtStartOfStory, Brooklyn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceAtStartOfStory Context triple: [Libby Tucker, residenceAtStartOfStory, Brooklyn]
-
A.
residenceAtStartOfFilm
Indicates the place where a person or character is living at the beginning of the film.
-
B.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
C.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
D.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
-
E.
homeLocationInStory
chosen
Indicates the place that serves as a character’s primary home or base of residence within the context of the story.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:18 p.m.