Triple
T36942274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taimur Ali Khan |
E913802
|
entity |
| Predicate | hasTitleInMedia |
P65893
|
FINISHED |
| Object | star kid |
—
|
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: star kid | Statement: [Taimur Ali Khan, hasTitleInMedia, star kid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInMedia Context triple: [Taimur Ali Khan, hasTitleInMedia, star kid]
-
A.
hasTitleIn
chosen
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
isCommonMediaTitle
Indicates that a given title is widely used or frequently occurring as the name of media works (such as books, films, songs, or shows).
-
C.
hasTitleInCredits
Indicates that an entity is listed with a specific title or role in the credits of a work.
-
D.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
E.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:13 p.m.