Triple

T22884777
Position Surface form Disambiguated ID Type / Status
Subject The Crossing E567573 entity
Predicate hasPart P35 FINISHED
Object Chance
Chance is a character or narrative element featured within the work "The Crossing."
E1560293 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: Chance | Statement: [The Crossing, hasPart, Chance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chance
Context triple: [The Crossing, hasPart, Chance]
  • A. Chance
    "Chance" is a novel by Joseph Conrad that explores themes of fate, morality, and social convention through the troubled life of a young woman entangled in complex relationships.
  • B. Chance
    Chance is a masculine given name often associated with notions of luck, opportunity, and fortune.
  • C. Chance
    "Chance" is a film directed by American filmmaker Jake Schreier, known for his character-driven storytelling and visually polished style.
  • D. Luck
    Luck is a common English surname borne by various notable individuals in sports, entertainment, and other fields.
  • E. Luck
    "Luck" is a 2022 animated fantasy comedy film about a perpetually unlucky girl who discovers a secret world of good and bad luck.
  • 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: Chance
Triple: [The Crossing, hasPart, Chance]
Generated description
Chance is a character or narrative element featured within the work "The Crossing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chance
Target entity description: Chance is a character or narrative element featured within the work "The Crossing."
  • A. Chance
    Chance is a masculine given name often associated with notions of luck, opportunity, and fortune.
  • B. Chance
    "Chance" is a film directed by American filmmaker Jake Schreier, known for his character-driven storytelling and visually polished style.
  • C. Chance
    "Chance" is a novel by Joseph Conrad that explores themes of fate, morality, and social convention through the troubled life of a young woman entangled in complex relationships.
  • D. Luck
    Luck is a common English surname borne by various notable individuals in sports, entertainment, and other fields.
  • E. Luck
    "Luck" is a 2022 animated fantasy comedy film about a perpetually unlucky girl who discovers a secret world of good and bad luck.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9bafb9c81909e061c4d2997439a completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb38da508190bc1d9bc8538cdbe2 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc15b59c8190b918d551b1fb3230 completed May 19, 2026, 1:25 a.m.
Created at: April 17, 2026, 3:40 p.m.