Triple
T11240928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahid Kapoor |
E266070
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Haider |
E541891
|
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: Haider | Statement: [Shahid Kapoor, notableWork, Haider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haider Context triple: [Shahid Kapoor, notableWork, Haider]
-
A.
Haider
chosen
Haider is a critically acclaimed 2014 Indian crime drama film directed by Vishal Bhardwaj, adapted from Shakespeare's Hamlet and set against the backdrop of the Kashmir conflict.
-
B.
Fidaa
Fidaa is a popular Telugu romantic drama film known for its rural backdrop, charming love story, and strong performances, particularly by actress Sai Pallavi.
-
C.
Andhadhun
Andhadhun is a critically acclaimed 2018 Indian black comedy thriller film directed by Sriram Raghavan, known for its twist-filled plot and standout performances.
-
D.
Maqbool
Maqbool is a critically acclaimed 2003 Indian crime drama film directed by Vishal Bhardwaj, which adapts Shakespeare’s Macbeth into the Mumbai underworld and features Irrfan Khan in a powerful lead role.
-
E.
Haiderpur Badli Mor
Haiderpur Badli Mor is an elevated station in North Delhi on the Delhi Metro network, serving residential and commercial areas near Haiderpur and Badli.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad79e4788190af39186f37600a64 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.