Triple

T10478673
Position Surface form Disambiguated ID Type / Status
Subject Louis Pouzin E247112 entity
Predicate familyName P18 FINISHED
Object Pouzin E247112 NE FINISHED

How this triple was built (2 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: Pouzin | Statement: [Louis Pouzin, familyName, Pouzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pouzin
Context triple: [Louis Pouzin, familyName, Pouzin]
  • A. Pouzin chosen
    Pouzin is a French surname most notably associated with Louis Pouzin, a pioneering computer scientist whose work on datagram-based networking helped lay the foundations of the modern internet.
  • B. Lasserre
    Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
  • C. Valadier
    Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
  • D. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • E. Médard
    Médard is a masculine French given name of Christian origin, historically associated with Saint Médard and used in various Francophone regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095a25708190bf34e3ca1491e003 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a02aa2748190902f5c08afd7dda9 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:21 p.m.