Triple
T26533249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deewaar |
E670875
|
entity |
| Predicate | starsAsAngryYoungMan |
P5563
|
FINISHED |
| Object | Amitabh Bachchan |
—
|
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: Amitabh Bachchan | Statement: [Deewaar, starsAsAngryYoungMan, Amitabh Bachchan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsAsAngryYoungMan Context triple: [Deewaar, starsAsAngryYoungMan, Amitabh Bachchan]
-
A.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
C.
stars
Indicates that one entity marks, highlights, or designates another as special, important, or featured (often by assigning a star or similar marker).
-
D.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
-
E.
airedStarringActor
Indicates that a specific airing of a program featured a particular actor in a starring role.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613f98bc881909ccae70078fdab74 |
completed | May 2, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:37 a.m.