Triple

T22433316
Position Surface form Disambiguated ID Type / Status
Subject Hotel Salvation E554550 entity
Predicate producer P490 FINISHED
Object Celine Loop
Celine Loop is a film producer best known for her work on the acclaimed Indian drama "Hotel Salvation" (Mukti Bhawan).
 E1536438 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: Celine Loop | Statement: [Hotel Salvation, producer, Celine Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Celine Loop
Context triple: [Hotel Salvation, producer, Celine Loop]
  • A. Celine
    Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
  • B. Ellzey
    Ellzey is a surname most notably associated with Jake Ellzey, a U.S. politician and former Navy fighter pilot serving as a congressman from Texas.
  • C. Lunice
    Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
  • D. Laino
    Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
  • E. Fleurie
    Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
  • 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: Celine Loop
Triple: [Hotel Salvation, producer, Celine Loop]
Generated description
Celine Loop is a film producer best known for her work on the acclaimed Indian drama "Hotel Salvation" (Mukti Bhawan).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Celine Loop
Target entity description: Celine Loop is a film producer best known for her work on the acclaimed Indian drama "Hotel Salvation" (Mukti Bhawan).
  • A. Celine
    Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
  • B. Ellzey
    Ellzey is a surname most notably associated with Jake Ellzey, a U.S. politician and former Navy fighter pilot serving as a congressman from Texas.
  • C. Lunice
    Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
  • D. Laino
    Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
  • E. Fleurie
    Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
  • 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.