Triple

T22076064
Position Surface form Disambiguated ID Type / Status
Subject C. Ramchandra E545524 entity
Predicate notableWork P4 FINISHED
Object Albela
Albela is a classic 1951 Hindi musical comedy film celebrated for its hit songs and innovative use of Western musical styles in Indian cinema.
 E1516858 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: Albela | Statement: [C. Ramchandra, notableWork, Albela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albela
Context triple: [C. Ramchandra, notableWork, Albela]
  • A. Abibaal
    Abibaal was a king of the ancient Phoenician city-state of Tyre, known from classical sources as an early ruler in its royal lineage.
  • B. Melfina
    Melfina is a mysterious bio-android and key crew member of the spaceship Outlaw Star in the anime series of the same name.
  • C. Albarus
    Albarus is an automotive-related brand owned by Dana Holding Corporation, known for products in the vehicle parts and systems sector.
  • D. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • E. Beyla
    Beyla is a minor figure in Norse mythology, known primarily as a servant of the god Freyr and mentioned briefly in the poem Lokasenna.
  • 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: Albela
Triple: [C. Ramchandra, notableWork, Albela]
Generated description
Albela is a classic 1951 Hindi musical comedy film celebrated for its hit songs and innovative use of Western musical styles in Indian cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albela
Target entity description: Albela is a classic 1951 Hindi musical comedy film celebrated for its hit songs and innovative use of Western musical styles in Indian cinema.
  • A. Abibaal
    Abibaal was a king of the ancient Phoenician city-state of Tyre, known from classical sources as an early ruler in its royal lineage.
  • B. Melfina
    Melfina is a mysterious bio-android and key crew member of the spaceship Outlaw Star in the anime series of the same name.
  • C. Albarus
    Albarus is an automotive-related brand owned by Dana Holding Corporation, known for products in the vehicle parts and systems sector.
  • D. Suleika
    Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • E. Beyla
    Beyla is a minor figure in Norse mythology, known primarily as a servant of the god Freyr and mentioned briefly in the poem Lokasenna.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b2bf60819082d38e671f160b0f completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b7a98c8190909b31034aa04039 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a81f51dbc8190a49506d7536d165b completed May 18, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0a82c10ce48190806498221cb55e7b completed May 18, 2026, 3:08 a.m.
Created at: April 16, 2026, 8:28 p.m.