Triple

T16648304
Position Surface form Disambiguated ID Type / Status
Subject James Mason as Phillip Vandamm E404532 entity
Predicate hasLastName P18 FINISHED
Object Vandamm E691893 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: Vandamm | Statement: [James Mason as Phillip Vandamm, hasLastName, Vandamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vandamm
Context triple: [James Mason as Phillip Vandamm, hasLastName, Vandamm]
  • A. Vandamm chosen
    Vandamm is a surname, often a variant spelling of "van Damm," associated with various individuals in arts, entertainment, and other fields.
  • B. Muntendam
    Muntendam is a village in the Dutch province of Groningen, now administratively part of the municipality of Midden-Groningen.
  • C. Gaasperdam
    Gaasperdam is a residential neighborhood in the southeastern part of Amsterdam known for its green spaces and proximity to the Gaasperplas recreational area.
  • D. Onderdendam
    Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
  • E. Steendam
    Steendam is a small village in the province of Groningen in the Netherlands, known for its rural setting near the Schildmeer lake.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad794388190b2817d2ec5ff0de0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.