Triple

T9183568
Position Surface form Disambiguated ID Type / Status
Subject Prince Philippe, Count of Flanders E220394 entity
Predicate givenName P17 FINISHED
Object Philippe E600736 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: Philippe | Statement: [Prince Philippe, Count of Flanders, givenName, Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe
Context triple: [Prince Philippe, Count of Flanders, givenName, Philippe]
  • A. Philippe chosen
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • B. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • C. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • D. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • E. Philippe-Antoine
    Philippe-Antoine is a French given name historically borne by notable figures such as the revolutionary-era politician and jurist Merlin de Douai.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31734908190b8ebe3b57849ca5f completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1474a08190aa3e3e90326a20d1 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.