Triple

T9689898
Position Surface form Disambiguated ID Type / Status
Subject Les Troyens E234509 entity
Predicate character P662 FINISHED
Object Chorèbe
Chorèbe is a Trojan prince and fiancé of Cassandra in Hector Berlioz’s opera *Les Troyens*, embodying noble but doomed heroism during Troy’s final days.
 E815626 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: Chorèbe | Statement: [Les Troyens, character, Chorèbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chorèbe
Context triple: [Les Troyens, character, Chorèbe]
  • A. Chorfa
    Chorfa is a town and commune located within Algeria’s Bouira Province.
  • B. Athois
    Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
  • C. Chaurien
    A Chaurien is a resident or native of Castelnaudary, a town in southern France renowned for its traditional cassoulet.
  • D. Gourmanchéma
    Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • E. Staouéli
    Staouéli is a coastal town in northern Algeria, near Algiers, known historically as the site of a major 1830 battle during the French conquest of Algeria.
  • 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: Chorèbe
Triple: [Les Troyens, character, Chorèbe]
Generated description
Chorèbe is a Trojan prince and fiancé of Cassandra in Hector Berlioz’s opera *Les Troyens*, embodying noble but doomed heroism during Troy’s final days.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chorèbe
Target entity description: Chorèbe is a Trojan prince and fiancé of Cassandra in Hector Berlioz’s opera *Les Troyens*, embodying noble but doomed heroism during Troy’s final days.
  • A. Chorfa
    Chorfa is a town and commune located within Algeria’s Bouira Province.
  • B. Athois
    Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
  • C. Chaurien
    A Chaurien is a resident or native of Castelnaudary, a town in southern France renowned for its traditional cassoulet.
  • D. Gourmanchéma
    Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • E. Staouéli
    Staouéli is a coastal town in northern Algeria, near Algiers, known historically as the site of a major 1830 battle during the French conquest of Algeria.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d02b20881909d7c0d5d6aaafcb0 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911427d48190855506ab61f8a2ce completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d193a5cdac8190b84564f397d00124 completed April 4, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69d19457c6488190a7bc72e1a27c088a completed April 4, 2026, 10:44 p.m.
Created at: March 30, 2026, 8:17 p.m.