Triple
T37295008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zain Kapoor |
E925775
|
entity |
| Predicate | paternalFamilyIndustry |
P187711
|
FINISHED |
| Object | Indian film industry |
—
|
LITERAL 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: Indian film industry | Statement: [Zain Kapoor, paternalFamilyIndustry, Indian film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paternalFamilyIndustry Context triple: [Zain Kapoor, paternalFamilyIndustry, Indian film industry]
-
A.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
B.
fatherOccupation
Indicates the type of job or profession held by a person's father.
-
C.
roleInFatherWork
Indicates that one entity has a specific role or involvement in the work or professional activities of another entity identified as the father.
-
D.
spouseIndustry
Indicates the industry or sector in which a person's spouse is employed or primarily involved.
-
E.
familyProfession
Indicates that a person’s profession is shared with or traditionally practiced within their family, reflecting an occupational lineage or family trade.
- F. None of above. chosen
Provenance (4 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:16 p.m.