Triple
T37096056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vayu Kapoor Ahuja |
E918566
|
entity |
| Predicate | hasMotherIndustry |
P200377
|
FINISHED |
| Object | Bollywood |
—
|
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: Bollywood | Statement: [Vayu Kapoor Ahuja, hasMotherIndustry, Bollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotherIndustry Context triple: [Vayu Kapoor Ahuja, hasMotherIndustry, Bollywood]
-
A.
hasMotherWork
Indicates that a person’s mother is associated with a specific place of work or occupation.
-
B.
hasParentCompanyIndustry
Indicates that an entity’s parent company operates in, or is associated with, a specified industry.
-
C.
ultimateParentIndustry
Indicates the industry classification associated with an entity’s highest-level (ultimate) parent organization in a corporate ownership hierarchy.
-
D.
hasMotherOrigin
Indicates that an entity’s origin, source, or lineage is derived from or attributed to a mother entity.
-
E.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
| PDg | Predicate description generation | batch_69ff84dec2848190b67a497d025c8880 |
completed | May 9, 2026, 7:02 p.m. |
Created at: May 3, 2026, 4:14 p.m.