Triple
T29335745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhoo |
E743900
|
entity |
| Predicate | debutLanguageIndustry |
P159231
|
FINISHED |
| Object | Hindi cinema |
—
|
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: Hindi cinema | Statement: [Madhoo, debutLanguageIndustry, Hindi cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutLanguageIndustry Context triple: [Madhoo, debutLanguageIndustry, Hindi cinema]
-
A.
debutLanguage
Indicates the language in which something (such as a work, performance, or product) was first released or presented to the public.
-
B.
filmDebutLanguage
chosen
Indicates the language in which an entity (such as a person or work) made its first appearance in film.
-
C.
workedWithLanguageIndustry
Indicates that an entity has performed work or professional activities within the language industry, such as translation, localization, interpreting, or related language services.
-
D.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
E.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 1:30 p.m.