Triple

T22433253
Position Surface form Disambiguated ID Type / Status
Subject Lootera E554548 entity
Predicate hasSong P20452 FINISHED
Object Ankahee
"Ankahee" is a Hindi song from the 2013 Bollywood period romance film "Lootera," known for its melancholic melody and evocative lyrics.
E1536430 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: Ankahee | Statement: [Lootera, hasSong, Ankahee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankahee
Context triple: [Lootera, hasSong, Ankahee]
  • A. Anka
    Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
  • B. Ankaa
    Ankaa is the brightest star in the constellation Phoenix, an orange giant visible from the Southern Hemisphere.
  • C. Kohly
    Kohly is a residential neighborhood in the Playa municipality of Havana, Cuba, known for its quiet streets and proximity to major city avenues.
  • D. Anah
    Anah is a minor biblical figure mentioned in Genesis as a descendant of Esau’s family line.
  • E. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • 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: Ankahee
Triple: [Lootera, hasSong, Ankahee]
Generated description
"Ankahee" is a Hindi song from the 2013 Bollywood period romance film "Lootera," known for its melancholic melody and evocative lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ankahee
Target entity description: "Ankahee" is a Hindi song from the 2013 Bollywood period romance film "Lootera," known for its melancholic melody and evocative lyrics.
  • A. Anka
    Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
  • B. Ankaa
    Ankaa is the brightest star in the constellation Phoenix, an orange giant visible from the Southern Hemisphere.
  • C. Kohly
    Kohly is a residential neighborhood in the Playa municipality of Havana, Cuba, known for its quiet streets and proximity to major city avenues.
  • D. Anah
    Anah is a minor biblical figure mentioned in Genesis as a descendant of Esau’s family line.
  • E. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • 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_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0f90f5881908f0011690cb0f1e4 completed May 18, 2026, 10:59 a.m.
NEDg Description generation batch_6a0af268db2881908706641ad1e41f79 completed May 18, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0b08e411048190a368214c57c35d5e completed May 18, 2026, 12:41 p.m.
Created at: April 16, 2026, 8:47 p.m.