Triple

T10507832
Position Surface form Disambiguated ID Type / Status
Subject Maurice Strong E247830 entity
Predicate familyName P18 FINISHED
Object Strong E136757 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: Strong | Statement: [Maurice Strong, familyName, Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strong
Context triple: [Maurice Strong, familyName, Strong]
  • A. Strong chosen
    Strong is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
  • B. Strong Motion
    Strong Motion is a 1992 novel by Jonathan Franzen that explores environmental disaster, family dysfunction, and corporate malfeasance through a darkly comic, realist narrative.
  • C. Strong Unit
    Strong Unit is a protected management area within the Detroit River International Wildlife Refuge that conserves important coastal and wetland habitats for wildlife along the Detroit River.
  • D. Intense
    Intense is a studio album by Dutch trance DJ and producer Armin van Buuren that blends uplifting trance with elements of pop and electro.
  • E. Strength
    "Strength" is a synthpop song by the American band Information Society, known for its energetic electronic sound and introspective lyrics.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b287ac8190805a2375bd16b7ae completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dce30d788190b4a40340b9200b10 completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:26 p.m.