Triple
T19698569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feroze Gandhi |
E473031
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Feroze |
—
|
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: Feroze | Statement: [Feroze Gandhi, givenName, Feroze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feroze Context triple: [Feroze Gandhi, givenName, Feroze]
-
A.
Feroze
chosen
Feroze was an Indian politician and journalist best known as the husband of Indira Gandhi and a member of the Nehru–Gandhi political family.
-
B.
Farooq
Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
-
C.
Zulfikar
Zulfikar is a masculine given name most prominently associated with Zulfikar Ali Bhutto, the former Prime Minister of Pakistan and a major political figure in the country's history.
-
D.
Feroz Khan Noon
Feroz Khan Noon was a Pakistani politician and statesman who served as the country's seventh Prime Minister in the late 1950s.
-
E.
Shamsher
Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b2baec81909ee2cd6ead632836 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.