Triple
T37533675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neetu Kapoor |
E933132
|
entity |
| Predicate | industryDebutAs |
P168662
|
FINISHED |
| Object | child actress |
—
|
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: child actress | Statement: [Neetu Kapoor, industryDebutAs, child actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryDebutAs Context triple: [Neetu Kapoor, industryDebutAs, child actress]
-
A.
industryDebut
chosen
Indicates the point at which an entity first formally enters or begins participating in a particular industry or professional field.
-
B.
organizationDebut
Indicates the point in time or event when an organization first appears, is established, or begins its public or formal existence.
-
C.
companyDebut
Indicates that a company makes its first public appearance or begins its operations at a specific time or event.
-
D.
debutedBy
Indicates that something (such as a work, product, or performance) is first introduced or presented to the public by a particular agent or entity.
-
E.
characterIndustry
Indicates a relationship where a character is associated with, works in, or is otherwise linked to a particular industry or economic sector.
- F. None of above.
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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.