Triple

T2611617
Position Surface form Disambiguated ID Type / Status
Subject Stalybridge E58786 entity
Predicate adjacentTo P224 FINISHED
Object Hyde E86540 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: Hyde | Statement: [Stalybridge, adjacentTo, Hyde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyde
Context triple: [Stalybridge, adjacentTo, Hyde]
  • A. Hyde chosen
    Hyde is a town in Greater Manchester, England, known as a residential and former industrial community within the Tameside borough.
  • B. Mr. Edward Hyde
    Mr. Edward Hyde is the violent, malevolent alter ego of Dr. Henry Jekyll in Robert Louis Stevenson’s classic Gothic novella "Strange Case of Dr Jekyll and Mr Hyde."
  • C. Damien Thorn
    Damien Thorn is the sinister child Antichrist central to the horror film series "The Omen," whose seemingly innocent appearance masks a malevolent supernatural destiny.
  • D. John Black
    John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
  • E. Elias Kane
    Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e816808190aa2c91801fd3c6c7 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.