Triple

T21109215
Position Surface form Disambiguated ID Type / Status
Subject Gulzar E520129 entity
Predicate workedOn P3 FINISHED
Object Anand
Anand is a classic 1971 Hindi drama film directed by Hrishikesh Mukherjee, celebrated for its poignant story about a terminally ill man who inspires everyone around him.
E1466814 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: Anand | Statement: [Gulzar, workedOn, Anand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anand
Context triple: [Gulzar, workedOn, Anand]
  • A. Anand
    Anand is a city in the Indian state of Gujarat, known as a major dairy hub and home to the Amul cooperative.
  • B. Viswanathan Anand
    Viswanathan Anand is an Indian chess grandmaster and former World Chess Champion widely regarded as one of the greatest chess players of all time.
  • C. Viswanathan
    Viswanathan is the given name of Viswanathan Anand, the Indian chess grandmaster and former World Chess Champion.
  • D. Nihal
    Nihal is a bright yellow giant star in the constellation Lepus, notable as one of its most luminous members.
  • E. Vishy
    Vishy is the popular nickname of Viswanathan Anand, the Indian chess grandmaster and former World Chess Champion renowned for his rapid playing style and contributions to modern chess.
  • 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: Anand
Triple: [Gulzar, workedOn, Anand]
Generated description
Anand is a classic 1971 Hindi drama film directed by Hrishikesh Mukherjee, celebrated for its poignant story about a terminally ill man who inspires everyone around him.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anand
Target entity description: Anand is a classic 1971 Hindi drama film directed by Hrishikesh Mukherjee, celebrated for its poignant story about a terminally ill man who inspires everyone around him.
  • A. Anand
    Anand is a city in the Indian state of Gujarat, known as a major dairy hub and home to the Amul cooperative.
  • B. Viswanathan Anand
    Viswanathan Anand is an Indian chess grandmaster and former World Chess Champion widely regarded as one of the greatest chess players of all time.
  • C. Viswanathan
    Viswanathan is the given name of Viswanathan Anand, the Indian chess grandmaster and former World Chess Champion.
  • D. Nihal
    Nihal is a bright yellow giant star in the constellation Lepus, notable as one of its most luminous members.
  • E. Vishy
    Vishy is the popular nickname of Viswanathan Anand, the Indian chess grandmaster and former World Chess Champion renowned for his rapid playing style and contributions to modern chess.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a69219c8190ab5b106aa1375c6a completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095b6d25f8819097334c13ef37003e completed May 17, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a095c7c8840819087c9860a75314b83 completed May 17, 2026, 6:13 a.m.
Created at: April 16, 2026, 2:54 p.m.