Triple
T29245511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini |
E741428
|
entity |
| Predicate | leadActressCharacterName |
P170737
|
FINISHED |
| Object |
Manisha
Manisha is the central female character portrayed by the lead actress in the film "Gemini."
|
E1863733
|
NE FINISHED |
How this triple was built (3 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: Manisha | Statement: [Gemini, leadActressCharacterName, Manisha]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Manisha Triple: [Gemini, leadActressCharacterName, Manisha]
Generated description
Manisha is the central female character portrayed by the lead actress in the film "Gemini."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressCharacterName Context triple: [Gemini, leadActressCharacterName, Manisha]
-
A.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
B.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
C.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
D.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
E.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
- F. None of above. chosen
Provenance (7 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25c0db40c48190949e18370d869d5d |
completed | June 7, 2026, 7:04 p.m. |
| NEDg | Description generation | batch_6a25c51c700881909277ee29874edb91 |
completed | June 7, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25c6d6fde48190a92b5a7db417c8f2 |
completed | June 7, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 28, 2026, 12:32 p.m.