Triple
T13076326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Curran |
E329584
|
entity |
| Predicate | hasSexualRelationshipWith |
P10559
|
FINISHED |
| Object | Beth Garner |
E1028200
|
NE 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: Beth Garner | Statement: [Nick Curran, hasSexualRelationshipWith, Beth Garner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Garner Context triple: [Nick Curran, hasSexualRelationshipWith, Beth Garner]
-
A.
Beth Garner
chosen
Beth Garner is a fictional psychologist and love interest in the 1992 neo-noir thriller film "Basic Instinct."
-
B.
Patricia Ann Garner
Patricia Ann Garner is a member of the Garner family and a relative of Susannah Garner Carpenter.
-
C.
Tracy Garner
Tracy Garner is known as the spouse of Doug Billings, a character from the comedy film series "The Hangover."
-
D.
Amy Gardner
Amy Gardner is a British scriptwriter and producer known for her work in film and television and for her former marriage to actor Rufus Sewell.
-
E.
Gail Harvey
Gail Harvey is a Canadian film and television director and producer known for her work on numerous series and feature films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a227d2c81908da0089d0e0387c6 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:01 p.m.