Triple

T17088320
Position Surface form Disambiguated ID Type / Status
Subject Mort Shuman E414657 entity
Predicate alsoWorkedIn P60869 FINISHED
Object France E861 NE FINISHED

How this triple was built (3 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: France | Statement: [Mort Shuman, alsoWorkedIn, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Mort Shuman, alsoWorkedIn, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • E. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoWorkedIn
Context triple: [Mort Shuman, alsoWorkedIn, France]
  • A. hasCollaboratedIn
    Indicates that two or more entities have worked together on a shared project, task, or activity.
  • B. workedAs
    Indicates that an entity held a particular job, role, or position, performing work in that capacity.
  • C. alsoActiveIn chosen
    Indicates that an entity which is active in one context, domain, or location is additionally active in another specified context, domain, or location.
  • D. producerOftenWorkedWith
    Indicates that a producer frequently collaborated or worked together with a particular entity (such as an artist, director, or production team) on multiple projects.
  • E. hasWorkedOnFilmBy
    Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
  • F. None of above.

Provenance (4 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eda04d08190b450fbfc6ccb9054 completed May 11, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e35d67b14481909fcdbdeaa5c34785 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:35 a.m.