Triple
T15296792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Beckwith |
E365680
|
entity |
| Predicate | romanticInterest |
P7325
|
FINISHED |
| Object | Claire Cleary |
E444140
|
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: Claire Cleary | Statement: [John Beckwith, romanticInterest, Claire Cleary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Cleary Context triple: [John Beckwith, romanticInterest, Claire Cleary]
-
A.
Claire Cleary
chosen
Claire Cleary is a central love interest and emotionally grounded character in the comedy film "Wedding Crashers," known for her charm, wit, and conflicted relationship dynamics.
-
B.
Claire Foster
Claire Foster is a suburban wife who gets caught up in a chaotic and dangerous adventure with her husband in the comedy film "Date Night."
-
C.
Claire Hennessy
Claire Hennessy is an Irish author and editor best known for her young adult fiction and involvement in contemporary Irish literary culture.
-
D.
Claire Brialey
Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
-
E.
Claire Bennett
Claire Bennett is the acerbic, grief-stricken woman living with chronic pain portrayed by Jennifer Aniston in the drama film "Cake."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.