Triple

T8503839
Position Surface form Disambiguated ID Type / Status
Subject Javed Akhtar E201285 entity
Predicate spouse P13 FINISHED
Object Honey Irani
Honey Irani is an Indian screenwriter and former child actress known for her work in Hindi cinema and for being part of a prominent Bollywood film family.
E739208 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: Honey Irani | Statement: [Javed Akhtar, spouse, Honey Irani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honey Irani
Context triple: [Javed Akhtar, spouse, Honey Irani]
  • A. Sediqa Massoud
    Sediqa Massoud is the widow of famed Afghan resistance leader Ahmad Shah Massoud and a prominent advocate for women's rights and education in Afghanistan.
  • B. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • C. Laleh
    Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
  • D. Malakeh Madar
    Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
  • E. Delaram Ali
    Delaram Ali is an Iranian women's rights activist known for her prominent role in Iran’s One Million Signatures Campaign challenging discriminatory laws against women.
  • 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: Honey Irani
Triple: [Javed Akhtar, spouse, Honey Irani]
Generated description
Honey Irani is an Indian screenwriter and former child actress known for her work in Hindi cinema and for being part of a prominent Bollywood film family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Honey Irani
Target entity description: Honey Irani is an Indian screenwriter and former child actress known for her work in Hindi cinema and for being part of a prominent Bollywood film family.
  • A. Sediqa Massoud
    Sediqa Massoud is the widow of famed Afghan resistance leader Ahmad Shah Massoud and a prominent advocate for women's rights and education in Afghanistan.
  • B. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • C. Laleh
    Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
  • D. Malakeh Madar
    Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
  • E. Delaram Ali
    Delaram Ali is an Iranian women's rights activist known for her prominent role in Iran’s One Million Signatures Campaign challenging discriminatory laws against women.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe59d67d081908155a43b9b463fe3 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e26a3108190a48b00c2927be971 completed April 2, 2026, 11:08 a.m.
NEDg Description generation batch_69ce4ff88ff48190a5641635187a9e4f completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce50fd3150819097562093bee78a6d completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:14 p.m.