Triple

T18482153
Position Surface form Disambiguated ID Type / Status
Subject D. Woods E451586 entity
Predicate familyName P18 FINISHED
Object Woodgett
Woodgett is a relatively uncommon English surname, likely of British origin, associated with individuals such as D. Woods.
 E1326484 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: Woodgett | Statement: [D. Woods, familyName, Woodgett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woodgett
Context triple: [D. Woods, familyName, Woodgett]
  • A. Dalgety
    Dalgety is a small rural town in New South Wales, Australia, situated on the Snowy River and known for its historic buildings and pastoral surroundings.
  • B. Guynes
    Guynes is the birth surname of American actress Demi Moore, who was born Demi Gene Guynes.
  • C. McElderry
    McElderry is the surname of Margaret K. McElderry, a pioneering American children's book editor and publisher.
  • D. Gunnerside
    Gunnerside was the codename for a World War II Allied commando operation targeting the German heavy water production facility at Vemork in Nazi-occupied Norway.
  • E. Gunnerside
    Gunnerside is a small rural village in the Yorkshire Dales of northern England, known for its scenic Swaledale setting and historic lead-mining heritage.
  • 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: Woodgett
Triple: [D. Woods, familyName, Woodgett]
Generated description
Woodgett is a relatively uncommon English surname, likely of British origin, associated with individuals such as D. Woods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woodgett
Target entity description: Woodgett is a relatively uncommon English surname, likely of British origin, associated with individuals such as D. Woods.
  • A. Dalgety
    Dalgety is a small rural town in New South Wales, Australia, situated on the Snowy River and known for its historic buildings and pastoral surroundings.
  • B. Guynes
    Guynes is the birth surname of American actress Demi Moore, who was born Demi Gene Guynes.
  • C. McElderry
    McElderry is the surname of Margaret K. McElderry, a pioneering American children's book editor and publisher.
  • D. Gunnerside
    Gunnerside was the codename for a World War II Allied commando operation targeting the German heavy water production facility at Vemork in Nazi-occupied Norway.
  • E. Gunnerside
    Gunnerside is a small rural village in the Yorkshire Dales of northern England, known for its scenic Swaledale setting and historic lead-mining heritage.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d49a1881908cc2ad6132953c96 completed April 19, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f318c008190a385bf367aa4dda7 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04435ec1848190a5bf61ba2263dde5 completed May 13, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_6a044ae5f7e88190aafb15af6a71be9f completed May 13, 2026, 9:56 a.m.
Created at: April 10, 2026, 11:35 a.m.