Triple

T22292567
Position Surface form Disambiguated ID Type / Status
Subject Sai Tamhankar E551032 entity
Predicate notableWork P4 FINISHED
Object Vazandar
Vazandar is a Marathi-language film known for its sensitive and humorous exploration of body image and self-acceptance.
 E1528917 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: Vazandar | Statement: [Sai Tamhankar, notableWork, Vazandar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vazandar
Context triple: [Sai Tamhankar, notableWork, Vazandar]
  • A. Semadar
    Semadar is a character in the biblical epic film "Samson and Delilah," depicted as a woman romantically involved with Samson before Delilah enters his life.
  • B. Zarthan
    Zarthan is an alternative name for the biblical town of Zeredah, mentioned in the Hebrew Bible.
  • C. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • D. Aezani
    Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
  • E. Azarath
    Azarath is a mystical, otherworldly realm in DC Comics known as the peaceful, monastic dimension where the Teen Titans member Raven was raised and trained in magic.
  • 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: Vazandar
Triple: [Sai Tamhankar, notableWork, Vazandar]
Generated description
Vazandar is a Marathi-language film known for its sensitive and humorous exploration of body image and self-acceptance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vazandar
Target entity description: Vazandar is a Marathi-language film known for its sensitive and humorous exploration of body image and self-acceptance.
  • A. Semadar
    Semadar is a character in the biblical epic film "Samson and Delilah," depicted as a woman romantically involved with Samson before Delilah enters his life.
  • B. Zarthan
    Zarthan is an alternative name for the biblical town of Zeredah, mentioned in the Hebrew Bible.
  • C. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • D. Aezani
    Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
  • E. Azarath
    Azarath is a mystical, otherworldly realm in DC Comics known as the peaceful, monastic dimension where the Teen Titans member Raven was raised and trained in magic.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560d1ec48190ab86f158c94b677b completed April 29, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abcb1db708190867a631a29583908 completed May 18, 2026, 7:16 a.m.
NEDg Description generation batch_6a0abdfae68c81909445ae82412f35c4 completed May 18, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0abf0bf9f88190baa7f6d55a8d9095 completed May 18, 2026, 7:26 a.m.
Created at: April 16, 2026, 8:41 p.m.