Triple

T10102002
Position Surface form Disambiguated ID Type / Status
Subject Chowder E216224 entity
Predicate mainCharacter P1183 FINISHED
Object Mung Daal
Mung Daal is a quirky, elderly chef and Chowder’s cooking mentor in the animated television series "Chowder."
E841259 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: Mung Daal | Statement: [Chowder, mainCharacter, Mung Daal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mung Daal
Context triple: [Chowder, mainCharacter, Mung Daal]
  • A. Khichdi
    Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
  • B. Okhla
    Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
  • C. Amala
    Amala is the debut studio album by American rapper and singer Doja Cat, showcasing her early blend of R&B, pop, and hip hop.
  • D. Karwi
    Karwi is a town in Uttar Pradesh, India, known primarily as the rail and road gateway to the historic hill fort of Kalinjar.
  • E. Pithla Bhakri
    Pithla Bhakri is a rustic Maharashtrian staple meal consisting of a spiced gram-flour curry (pithla) served with a hearty unleavened flatbread (bhakri), commonly eaten by rural and working-class communities.
  • 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: Mung Daal
Triple: [Chowder, mainCharacter, Mung Daal]
Generated description
Mung Daal is a quirky, elderly chef and Chowder’s cooking mentor in the animated television series "Chowder."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mung Daal
Target entity description: Mung Daal is a quirky, elderly chef and Chowder’s cooking mentor in the animated television series "Chowder."
  • A. Khichdi
    Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
  • B. Okhla
    Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
  • C. Amala
    Amala is the debut studio album by American rapper and singer Doja Cat, showcasing her early blend of R&B, pop, and hip hop.
  • D. Karwi
    Karwi is a town in Uttar Pradesh, India, known primarily as the rail and road gateway to the historic hill fort of Kalinjar.
  • E. Pithla Bhakri
    Pithla Bhakri is a rustic Maharashtrian staple meal consisting of a spiced gram-flour curry (pithla) served with a hearty unleavened flatbread (bhakri), commonly eaten by rural and working-class communities.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd099c21c819097aac4f0f168a2da completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6d3efec8190b1432ca614aeb334 completed April 5, 2026, 7:24 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9:02 p.m.