Triple
T22075636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhubala |
E545513
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Half Ticket |
—
|
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: Half Ticket | Statement: [Madhubala, starredIn, Half Ticket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Half Ticket Context triple: [Madhubala, starredIn, Half Ticket]
-
A.
Half Ticket
chosen
Half Ticket is a 1962 Hindi comedy film best known for its humorous storyline and performances by stars like Kishore Kumar and Madhubala.
-
B.
The Ticket
The Ticket is a 2016 American drama film about a blind man who regains his sight and becomes consumed by ambition, starring Dan Stevens and Kerry Bishé.
-
C.
Black Tickets
"Black Tickets" is an episode of the horror anthology television series Freddy's Nightmares, featuring stories introduced by the iconic slasher villain Freddy Krueger.
-
D.
Raseedi Ticket
Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
-
E.
Nol Red Ticket
Nol Red Ticket is a disposable, low-cost public transport card used by visitors and occasional riders to pay fares across Dubai’s metro, bus, and other RTA services.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.