Triple

T22111574
Position Surface form Disambiguated ID Type / Status
Subject Buniyaad E546429 entity
Predicate character P662 FINISHED
Object Lajoji
Lajoji is a supporting character in the acclaimed Indian television drama series "Buniyaad," which portrays the impact of the Partition of India on an extended Punjabi family.
 E1519644 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: Lajoji | Statement: [Buniyaad, character, Lajoji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lajoji
Context triple: [Buniyaad, character, Lajoji]
  • A. Lauje
    Lauje are an indigenous ethnic group of Central Sulawesi, Indonesia, known for their distinct Austronesian language and traditional agrarian lifestyle in the region’s highlands and coastal areas.
  • B. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • C. Gajac
    Gajac is a coastal resort settlement on the Croatian island of Pag, known for its apartment complexes and proximity to the popular tourist town of Novalja.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • 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: Lajoji
Triple: [Buniyaad, character, Lajoji]
Generated description
Lajoji is a supporting character in the acclaimed Indian television drama series "Buniyaad," which portrays the impact of the Partition of India on an extended Punjabi family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lajoji
Target entity description: Lajoji is a supporting character in the acclaimed Indian television drama series "Buniyaad," which portrays the impact of the Partition of India on an extended Punjabi family.
  • A. Lauje
    Lauje are an indigenous ethnic group of Central Sulawesi, Indonesia, known for their distinct Austronesian language and traditional agrarian lifestyle in the region’s highlands and coastal areas.
  • B. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • C. Gajac
    Gajac is a coastal resort settlement on the Croatian island of Pag, known for its apartment complexes and proximity to the popular tourist town of Novalja.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f175d2c819096d4a128307f2f67 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a90ca49c48190b01c88ae7e841cb4 completed May 18, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a915bd5748190afc5a5a6e9398564 completed May 18, 2026, 4:11 a.m.
Created at: April 16, 2026, 8:31 p.m.