Triple
T22142750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Carlyle |
E547206
|
entity |
| Predicate | associatedWithLocation |
P2830
|
FINISHED |
| Object | Edge 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: Edge City | Statement: [Tina Carlyle, associatedWithLocation, Edge City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edge City Context triple: [Tina Carlyle, associatedWithLocation, Edge City]
-
A.
Edge City
chosen
Edge City is a fictional, crime-ridden American metropolis known as the primary setting of the comic book and film franchise "The Mask."
-
B.
Outer City
The Outer City was the extensive outer urban area surrounding the central core of Dadu, the Yuan dynasty capital later known as Beijing.
-
C.
Nite City
Nite City was a short-lived 1970s rock band formed by Ray Manzarek, best known as the keyboardist of The Doors.
-
D.
Purple City
Purple City is a Harlem-based hip hop group and affiliate of The Diplomats known for their mixtapes and street-oriented rap.
-
E.
Drop City
Drop City is a novel by T.C. Boyle that follows a 1970s California hippie commune whose idealistic experiment in free living unravels when they relocate to the harsh wilderness of Alaska.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bf78108190b50d937917258693 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.