Triple
T22641431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judi Farr |
E558836
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Judi |
—
|
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: Judi | Statement: [Judi Farr, givenName, Judi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judi Context triple: [Judi Farr, givenName, Judi]
-
A.
Judi
chosen
Judi is the given name of acclaimed English actress Dame Judi Dench, renowned for her work in theatre, film, and television.
-
B.
Jega
Jega is a Nigerian academic and former chairman of the Independent National Electoral Commission, known for overseeing key electoral reforms in Nigeria.
-
C.
Budak
Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
-
D.
Játiva
Játiva is a historic town in the Valencian Community of Spain, known for its medieval castle and as the birthplace of notable figures including the painter José de Ribera.
-
E.
Judaai
Judaai is a 1997 Hindi-language drama film known for its emotional storyline about love, greed, and sacrifice, starring Anil Kapoor, Sridevi, and Urmila Matondkar.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.