Triple

T8527497
Position Surface form Disambiguated ID Type / Status
Subject Amy Petitgout E201853 entity
Predicate familyName P18 FINISHED
Object Petitgout
Petitgout is a surname most notably associated with individuals such as former NFL offensive lineman Luke Petitgout.
 E742104 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: Petitgout | Statement: [Amy Petitgout, familyName, Petitgout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Petitgout
Context triple: [Amy Petitgout, familyName, Petitgout]
  • A. Petit Bé fort
    Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
  • B. Le Pouce
    Le Pouce is a famous oversized bronze sculpture of a human thumb by French artist César Baldaccini, emblematic of his fascination with everyday forms and monumental scale.
  • C. Ouche
    The Ouche is a river in eastern France that flows through the city of Dijon and is a tributary of the Saône.
  • D. Petit Pic
    Petit Pic is the lower of the two main summits of the Pic du Midi d’Ossau in the French Pyrenees, known for its rugged alpine climbing routes.
  • E. Bitchois
    Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
  • 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: Petitgout
Triple: [Amy Petitgout, familyName, Petitgout]
Generated description
Petitgout is a surname most notably associated with individuals such as former NFL offensive lineman Luke Petitgout.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Petitgout
Target entity description: Petitgout is a surname most notably associated with individuals such as former NFL offensive lineman Luke Petitgout.
  • A. Petit Bé fort
    Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
  • B. Le Pouce
    Le Pouce is a famous oversized bronze sculpture of a human thumb by French artist César Baldaccini, emblematic of his fascination with everyday forms and monumental scale.
  • C. Ouche
    The Ouche is a river in eastern France that flows through the city of Dijon and is a tributary of the Saône.
  • D. Petit Pic
    Petit Pic is the lower of the two main summits of the Pic du Midi d’Ossau in the French Pyrenees, known for its rugged alpine climbing routes.
  • E. Bitchois
    Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce71cd3320819090f2e09f51493f9a completed April 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69ce725a4cf081909cd470fd4d7452ca completed April 2, 2026, 1:42 p.m.
Created at: March 30, 2026, 6:16 p.m.