Triple

T7600829
Position Surface form Disambiguated ID Type / Status
Subject David Pines E179976 entity
Predicate coAuthor P398 FINISHED
Object P. Nozières
P. Nozières is a prominent French theoretical physicist renowned for his influential work in condensed matter physics, particularly on Fermi liquids and many-body theory.
E674933 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: P. Nozières | Statement: [David Pines, coAuthor, P. Nozières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P. Nozières
Context triple: [David Pines, coAuthor, P. Nozières]
  • A. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • B. Pontarlier
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • C. Bozel
    Bozel is a commune in the Savoie department of southeastern France, situated in the Tarentaise Valley of the French Alps.
  • D. Pré-Saint-Didier
    Pré-Saint-Didier is a mountain village and spa resort in Italy’s Aosta Valley, known for its thermal baths and views of the Mont Blanc massif.
  • E. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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: P. Nozières
Triple: [David Pines, coAuthor, P. Nozières]
Generated description
P. Nozières is a prominent French theoretical physicist renowned for his influential work in condensed matter physics, particularly on Fermi liquids and many-body theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: P. Nozières
Target entity description: P. Nozières is a prominent French theoretical physicist renowned for his influential work in condensed matter physics, particularly on Fermi liquids and many-body theory.
  • A. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • B. Pontarlier
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • C. Bozel
    Bozel is a commune in the Savoie department of southeastern France, situated in the Tarentaise Valley of the French Alps.
  • D. Pré-Saint-Didier
    Pré-Saint-Didier is a mountain village and spa resort in Italy’s Aosta Valley, known for its thermal baths and views of the Mont Blanc massif.
  • E. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d9c55c8190841f3bf3225c096a completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861b0649c8190b374b5e81f8ba453 completed March 28, 2026, 11:18 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.