Triple
T26533422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabhi Kabhie |
E670878
|
entity |
| Predicate | hasPoetCharacter |
P180122
|
FINISHED |
| Object | Amitabh Bachchan as Amit Malhotra |
—
|
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: Amitabh Bachchan as Amit Malhotra | Statement: [Kabhi Kabhie, hasPoetCharacter, Amitabh Bachchan as Amit Malhotra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoetCharacter Context triple: [Kabhi Kabhie, hasPoetCharacter, Amitabh Bachchan as Amit Malhotra]
-
A.
hasPoeticSpeaker
Indicates that one entity functions as the poetic speaker or voice expressing the content of another entity (such as a poem or lyrical work).
-
B.
hasPoeticVoice
Indicates that one entity possesses or exhibits the distinctive poetic style, tone, or expressive voice associated with another entity.
-
C.
hasPoemSetIn
Indicates that a poem is set in or takes place within a particular location or setting.
-
D.
hasPoeticEpigraphs
Indicates that one entity (typically a work) includes poetic epigraphs associated with or prefacing another entity.
-
E.
characterizesPoetAs
Indicates that one entity portrays, defines, or describes a poet in terms of particular qualities, roles, or attributes.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 27, 2026, 1:37 a.m.