Triple
T22433349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Will People Say |
E554551
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Iram Haq |
—
|
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: Iram Haq | Statement: [What Will People Say, screenwriter, Iram Haq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iram Haq Context triple: [What Will People Say, screenwriter, Iram Haq]
-
A.
Iram Haq
chosen
Iram Haq is a Norwegian-Pakistani filmmaker and actress known for her emotionally powerful dramas exploring cultural conflict, identity, and family relationships.
-
B.
Aarif Sheikh
Aarif Sheikh is an Indian film editor known for his work on acclaimed Hindi movies, including the comedy-drama "Hindi Medium."
-
C.
Nima Khandan
Nima Khandan is the son of prominent Iranian human rights lawyer and activist Nasrin Sotoudeh.
-
D.
Rumi Jaffery
Rumi Jaffery is an Indian screenwriter and film director known for his work on numerous Bollywood comedies and commercial entertainers.
-
E.
Haroon Mirza
Haroon Mirza is a British artist known for his immersive installations that fuse sound, light, and found objects to explore the relationships between noise, music, and visual art.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.