Triple

T22442102
Position Surface form Disambiguated ID Type / Status
Subject Dev Anand E554776 entity
Predicate workedWith P398 FINISHED
Object Nutan
Nutan was a celebrated Indian film actress renowned for her nuanced performances in Hindi cinema from the 1950s to the 1970s.
 E1537369 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: Nutan | Statement: [Dev Anand, workedWith, Nutan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nutan
Context triple: [Dev Anand, workedWith, Nutan]
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Nortia
    Nortia is an Etruscan goddess associated with fate, time, and destiny, often linked to the marking of years and civic decisions.
  • C. Nurata
    Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
  • D. Erisma
    Erisma is a genus of tropical flowering trees in the family Vochysiaceae, native mainly to South American forests.
  • E. Niuas
    Niuas is a remote northern island group of Tonga known for its small, sparsely populated volcanic islands and traditional Polynesian culture.
  • 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: Nutan
Triple: [Dev Anand, workedWith, Nutan]
Generated description
Nutan was a celebrated Indian film actress renowned for her nuanced performances in Hindi cinema from the 1950s to the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nutan
Target entity description: Nutan was a celebrated Indian film actress renowned for her nuanced performances in Hindi cinema from the 1950s to the 1970s.
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Nortia
    Nortia is an Etruscan goddess associated with fate, time, and destiny, often linked to the marking of years and civic decisions.
  • C. Nurata
    Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
  • D. Erisma
    Erisma is a genus of tropical flowering trees in the family Vochysiaceae, native mainly to South American forests.
  • E. Niuas
    Niuas is a remote northern island group of Tonga known for its small, sparsely populated volcanic islands and traditional Polynesian culture.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c7001348190a6959ad5358f2fa4 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d10a50881909fb586a3c529623d completed May 18, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0daf9bac819086166985458f6742 completed May 18, 2026, 1:01 p.m.
Created at: April 16, 2026, 8:47 p.m.