Triple

T1013183
Position Surface form Disambiguated ID Type / Status
Subject John Strange Spencer-Churchill E21868 entity
Predicate middleName P143 FINISHED
Object Strange
Strange is a given name or middle name of English origin that has historically appeared in aristocratic and notable British families.
 E122533 NE FINISHED

How this triple was built (4 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: Strange | Statement: [John Strange Spencer-Churchill, middleName, Strange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strange
Context triple: [John Strange Spencer-Churchill, middleName, Strange]
  • A. Strangeland
    Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
  • B. Ghost
    Ghost is a 1990 romantic fantasy thriller film best known for its blend of supernatural drama and romance, starring Patrick Swayze, Demi Moore, and Whoopi Goldberg in an Oscar-winning role.
  • C. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Spectral
    Spectral is a 2016 military science fiction film that follows a special-ops team confronting ghostly entities in a war-torn Eastern European city.
  • E. the Other
    The Other is a mysterious, near-mythical figure in Doctor Who lore, often portrayed as one of the founding Time Lords whose essence is linked to the Doctor’s own origins.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Strange
Triple: [John Strange Spencer-Churchill, middleName, Strange]
Generated description
Strange is a given name or middle name of English origin that has historically appeared in aristocratic and notable British families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strange
Target entity description: Strange is a given name or middle name of English origin that has historically appeared in aristocratic and notable British families.
  • A. Strangeland
    Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
  • B. Ghost
    Ghost is a 1990 romantic fantasy thriller film best known for its blend of supernatural drama and romance, starring Patrick Swayze, Demi Moore, and Whoopi Goldberg in an Oscar-winning role.
  • C. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Spectral
    Spectral is a 2016 military science fiction film that follows a special-ops team confronting ghostly entities in a war-torn Eastern European city.
  • E. the Other
    The Other is a mysterious, near-mythical figure in Doctor Who lore, often portrayed as one of the founding Time Lords whose essence is linked to the Doctor’s own origins.
  • F. None of above. chosen

Provenance (5 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a8b254819089ffed9cb62a6930 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bad654c81909dd59211fafa8b2c completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c41ab70819090084c508dbfd295 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbb30d081909759df25c21eb275 completed March 7, 2026, 2:56 p.m.
Created at: March 1, 2026, 7:41 p.m.