Triple

T20417690
Position Surface form Disambiguated ID Type / Status
Subject Ananthabhadram E500753 entity
Predicate hasSong P20452 FINISHED
Object Pinakkamano
Pinakkamano is a popular Malayalam film song from the movie Ananthabhadram, known for its melodious composition and romantic appeal.
 E1428982 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: Pinakkamano | Statement: [Ananthabhadram, hasSong, Pinakkamano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinakkamano
Context triple: [Ananthabhadram, hasSong, Pinakkamano]
  • A. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • B. Pangyo
    Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • E. Piikani
    Piikani are an Indigenous people of the Blackfoot Confederacy traditionally based in the northern Great Plains of North America.
  • 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: Pinakkamano
Triple: [Ananthabhadram, hasSong, Pinakkamano]
Generated description
Pinakkamano is a popular Malayalam film song from the movie Ananthabhadram, known for its melodious composition and romantic appeal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinakkamano
Target entity description: Pinakkamano is a popular Malayalam film song from the movie Ananthabhadram, known for its melodious composition and romantic appeal.
  • A. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • B. Pangyo
    Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
  • C. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • D. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • E. Piikani
    Piikani are an Indigenous people of the Blackfoot Confederacy traditionally based in the northern Great Plains of North America.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b2a2c0c8190a47ee3b49c51de45 completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088017be588190ab94b8180e44ebf4 completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880c45e1081908f439ade0c31a47e completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:30 a.m.