Triple
T29615156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ek Duuje Ke Liye |
E754839
|
entity |
| Predicate | femaleProtagonistName |
P167986
|
FINISHED |
| Object | Sapna |
—
|
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: Sapna | Statement: [Ek Duuje Ke Liye, femaleProtagonistName, Sapna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleProtagonistName Context triple: [Ek Duuje Ke Liye, femaleProtagonistName, Sapna]
-
A.
protagonistFullName
Indicates that the subject entity is the full, proper name (including given and family names) of the story’s main protagonist.
-
B.
femaleLeadCharacterStatus
Indicates the narrative or role status assigned to a female lead character within a story or production.
-
C.
femaleRole
Indicates that the role, function, or position involved is associated with or designated as female.
-
D.
hasFemaleCharacter
Indicates that an entity includes or features at least one female character.
-
E.
protagonistDefaultName
Indicates that an entity is the default or canonical name assigned to the protagonist in a given work or context.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 6:31 p.m.