Triple

T17362737
Position Surface form Disambiguated ID Type / Status
Subject Irene Hervey E422108 entity
Predicate familyName P18 FINISHED
Object Hervey
Hervey is a surname of English origin borne by various notable individuals, including actors, politicians, and members of the British aristocracy.
 E1265022 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: Hervey | Statement: [Irene Hervey, familyName, Hervey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hervey
Context triple: [Irene Hervey, familyName, Hervey]
  • A. Hartley
    Hartley is a village in north-west Kent, England, known for its rural character and residential communities within commuting distance of London.
  • B. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • C. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • D. Damsay
    Damsay is a small uninhabited island in the Orkney archipelago of Scotland, known for its low-lying terrain and archaeological remains.
  • E. Hooper
    Hooper is a 1978 action-comedy film starring Burt Reynolds as an aging Hollywood stuntman facing the limits of his dangerous profession.
  • 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: Hervey
Triple: [Irene Hervey, familyName, Hervey]
Generated description
Hervey is a surname of English origin borne by various notable individuals, including actors, politicians, and members of the British aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hervey
Target entity description: Hervey is a surname of English origin borne by various notable individuals, including actors, politicians, and members of the British aristocracy.
  • A. Hartley
    Hartley is a village in north-west Kent, England, known for its rural character and residential communities within commuting distance of London.
  • B. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • C. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • D. Damsay
    Damsay is a small uninhabited island in the Orkney archipelago of Scotland, known for its low-lying terrain and archaeological remains.
  • E. Hooper
    Hooper is a 1978 action-comedy film starring Burt Reynolds as an aging Hollywood stuntman facing the limits of his dangerous profession.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4e3c3481909dfaa00334c5010e completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01956294ec819083c1dde8fc2685e4 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a019b7ab6bc8190843e2c6c7f2007d7 completed May 11, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a019c53d8b0819083f380693943f881 completed May 11, 2026, 9:07 a.m.
Created at: April 10, 2026, 5:44 a.m.