Triple

T11699842
Position Surface form Disambiguated ID Type / Status
Subject Camilla E278093 entity
Predicate mainCharacter P1183 FINISHED
Object Indiana Lynmere
Indiana Lynmere is a fictional protagonist created by the author Camilla, around whom the central narrative of her story revolves.
 E941630 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: Indiana Lynmere | Statement: [Camilla, mainCharacter, Indiana Lynmere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Indiana Lynmere
Context triple: [Camilla, mainCharacter, Indiana Lynmere]
  • A. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • B. Lullwater
    Lullwater is a tranquil, wooded lakeside area and walking path within Brooklyn’s Prospect Park, known for its scenic views and wildlife.
  • C. Linton Meadows
    Linton Meadows is a scenic alpine meadow area in Oregon known for its wildflower displays, mountain views, and backcountry hiking opportunities.
  • D. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • E. Botesdale
    Botesdale is a small rural village in Suffolk, England, known for its historic buildings and traditional village character.
  • 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: Indiana Lynmere
Triple: [Camilla, mainCharacter, Indiana Lynmere]
Generated description
Indiana Lynmere is a fictional protagonist created by the author Camilla, around whom the central narrative of her story revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Indiana Lynmere
Target entity description: Indiana Lynmere is a fictional protagonist created by the author Camilla, around whom the central narrative of her story revolves.
  • A. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • B. Lullwater
    Lullwater is a tranquil, wooded lakeside area and walking path within Brooklyn’s Prospect Park, known for its scenic views and wildlife.
  • C. Linton Meadows
    Linton Meadows is a scenic alpine meadow area in Oregon known for its wildflower displays, mountain views, and backcountry hiking opportunities.
  • D. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • E. Botesdale
    Botesdale is a small rural village in Suffolk, England, known for its historic buildings and traditional village character.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47df68c81908a91919a69b4880d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef833084988190b5004c93f68dc628 completed April 27, 2026, 3:39 p.m.
NEDg Description generation batch_69ef9b673120819097b542bb9a8f8bdb completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd683366881909dd9621e7c57d0be completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:40 p.m.