Triple

T16443164
Position Surface form Disambiguated ID Type / Status
Subject Ghajini E399357 entity
Predicate starring P1507 FINISHED
Object Asin
Asin is an Indian actress best known for her work in Tamil and Hindi cinema, including her acclaimed performance in the blockbuster film "Ghajini."
E1212961 NE FINISHED

How this triple was built (4 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: Asin | Statement: [Ghajini, starring, Asin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asin
Context triple: [Ghajini, starring, Asin]
  • A. Asha
    Asha is the given name of legendary Indian playback singer Asha Bhosle, renowned for her versatile and prolific contributions to Hindi cinema music.
  • B. Asha
    Asha is a central Zoroastrian and Iranian mythological concept representing truth, cosmic order, and righteousness that upholds the moral and natural structure of the universe.
  • C. Asha
    Asha is a line of budget-friendly Nokia mobile phones designed to offer smartphone-like features to emerging markets.
  • D. Asshai
    Asshai is a mysterious, far-eastern city in the world of "A Song of Ice and Fire," famed for its pervasive darkness, sorcery, and ominous reputation among travelers and loremasters.
  • E. Siwan
    Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Asin
Triple: [Ghajini, starring, Asin]
Generated description
Asin is an Indian actress best known for her work in Tamil and Hindi cinema, including her acclaimed performance in the blockbuster film "Ghajini."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asin
Target entity description: Asin is an Indian actress best known for her work in Tamil and Hindi cinema, including her acclaimed performance in the blockbuster film "Ghajini."
  • A. Asha
    Asha is the given name of legendary Indian playback singer Asha Bhosle, renowned for her versatile and prolific contributions to Hindi cinema music.
  • B. Asha
    Asha is a central Zoroastrian and Iranian mythological concept representing truth, cosmic order, and righteousness that upholds the moral and natural structure of the universe.
  • C. Asha
    Asha is a line of budget-friendly Nokia mobile phones designed to offer smartphone-like features to emerging markets.
  • D. Asshai
    Asshai is a mysterious, far-eastern city in the world of "A Song of Ice and Fire," famed for its pervasive darkness, sorcery, and ominous reputation among travelers and loremasters.
  • E. Siwan
    Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
  • F. None of above. chosen

Provenance (5 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.