Triple

T1747204
Position Surface form Disambiguated ID Type / Status
Subject The King E38360 entity
Predicate alias P39 FINISHED
Object Dauphin
The Dauphin was the traditional title given to the heir apparent to the throne of France under the Ancien Régime.
E195679 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: Dauphin | Statement: [The King, alias, Dauphin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dauphin
Context triple: [The King, alias, Dauphin]
  • A. Chouteau
    Chouteau is a French-origin surname notably associated with a prominent fur-trading and founding family in early St. Louis and the American Midwest.
  • B. Strathmore
    Strathmore is a broad, fertile valley in eastern Scotland known for its rich agricultural land and historic settlements.
  • C. Sainte-Marie
    Sainte-Marie is a French designation for Saint Mary, the mother of Jesus, commonly used as a namesake for religious institutions and places.
  • D. Saint‑Cloud
    Saint-Cloud is a western suburb of Paris, France, historically notable for its royal château and as the site of key political events during the French Revolution and Napoleonic era.
  • E. Concordia
    Concordia is a significant city in the Mesopotamia region of northeastern Argentina, known for its agriculture, citrus production, and location along the Uruguay River.
  • 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: Dauphin
Triple: [The King, alias, Dauphin]
Generated description
The Dauphin was the traditional title given to the heir apparent to the throne of France under the Ancien Régime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dauphin
Target entity description: The Dauphin was the traditional title given to the heir apparent to the throne of France under the Ancien Régime.
  • A. Chouteau
    Chouteau is a French-origin surname notably associated with a prominent fur-trading and founding family in early St. Louis and the American Midwest.
  • B. Strathmore
    Strathmore is a broad, fertile valley in eastern Scotland known for its rich agricultural land and historic settlements.
  • C. Sainte-Marie
    Sainte-Marie is a French designation for Saint Mary, the mother of Jesus, commonly used as a namesake for religious institutions and places.
  • D. Saint‑Cloud
    Saint-Cloud is a western suburb of Paris, France, historically notable for its royal château and as the site of key political events during the French Revolution and Napoleonic era.
  • E. Concordia
    Concordia is a municipality in the Mexican state of Sinaloa, known for its colonial architecture and traditional crafts.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63eabdf48190878ecde3d1b1faf3 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e058948190939e936af8f0e221 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2122481909c7a3470e090af17 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada23515d08190833ad1a35bb7a265 completed March 8, 2026, 4:22 p.m.
Created at: March 4, 2026, 7:31 p.m.