Triple

T10870768
Position Surface form Disambiguated ID Type / Status
Subject Moreau E256644 entity
Predicate variantOf P4680 FINISHED
Object Morel E133711 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: Morel | Statement: [Moreau, variantOf, Morel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morel
Context triple: [Moreau, variantOf, Morel]
  • A. Morel
    Morel is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world.
  • B. Morchella esculenta chosen
    Morchella esculenta is a highly prized edible morel mushroom species known for its honeycomb-like cap and rich, nutty flavor.
  • C. Morchella americana
    Morchella americana is a species of edible morel mushroom native to North America, known for its honeycomb-like cap and culinary value.
  • D. Tuber melanosporum
    Tuber melanosporum is a highly prized edible black truffle species known for its intense aroma and culinary value, especially in French and Italian cuisine.
  • E. Rock Mushroom
    Rock Mushroom is a special power-up in the Super Mario series that transforms Mario into Rock Mario, allowing him to roll into a boulder and smash through enemies and obstacles.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518610e48190bee50db71ae0ca3e completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d9ce3c8190afeb2a27fb82b594 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.