Triple

T3118180
Position Surface form Disambiguated ID Type / Status
Subject Battle of Sluys E65112 entity
Predicate commander P1061 FINISHED
Object Hugh Quieret
Hugh Quieret was a 14th-century French naval commander who played a leading role in the early stages of the Hundred Years' War.
E329758 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: Hugh Quieret | Statement: [Battle of Sluys, commander, Hugh Quieret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Quieret
Context triple: [Battle of Sluys, commander, Hugh Quieret]
  • A. Pierre Perrin
    Pierre Perrin was a 17th-century French poet and librettist who played a key role in the early development of French opera.
  • B. Yorick Le Saux
    Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
  • C. Pierre Beauchamp
    Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
  • D. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • E. Hippolyte Souverain
    Hippolyte Souverain was a 19th-century French publisher known for issuing works by major authors such as Honoré de Balzac.
  • 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: Hugh Quieret
Triple: [Battle of Sluys, commander, Hugh Quieret]
Generated description
Hugh Quieret was a 14th-century French naval commander who played a leading role in the early stages of the Hundred Years' War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hugh Quieret
Target entity description: Hugh Quieret was a 14th-century French naval commander who played a leading role in the early stages of the Hundred Years' War.
  • A. Pierre Perrin
    Pierre Perrin was a 17th-century French poet and librettist who played a key role in the early development of French opera.
  • B. Yorick Le Saux
    Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
  • C. Pierre Beauchamp
    Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
  • D. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • E. Hippolyte Souverain
    Hippolyte Souverain was a 19th-century French publisher known for issuing works by major authors such as Honoré de Balzac.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e73cc88190846ef37ccf1a0de7 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f63f8f881909348d4c6eb3c7e20 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2138e2bdc8190aa0a8a1dcd1e20fc completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b21438b6e881908da0117ebc9bb2b4 completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:04 p.m.