Triple
T28155556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Rink |
E714733
|
entity |
| Predicate | residenceAsAdult |
P75
|
FINISHED |
| Object | New York City |
—
|
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 | Statement: [Jenna Rink, residenceAsAdult, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceAsAdult Context triple: [Jenna Rink, residenceAsAdult, New York City]
-
A.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
-
B.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
C.
residenceOfChild
Indicates that a specified location is the place where a particular child lives or resides.
-
D.
subdivisionOfResidence
Indicates that a residence is located within or is part of a specific smaller administrative or geographic subdivision (such as a neighborhood, district, or ward).
-
E.
residence
chosen
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 10:02 p.m.