Triple

T16922376
Position Surface form Disambiguated ID Type / Status
Subject David Thomson (film critic) E410470 entity
Predicate spouse P13 FINISHED
Object Lucy Gray
Lucy Gray is known as the spouse of British film critic and historian David Thomson.
 E1241196 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: Lucy Gray | Statement: [David Thomson (film critic), spouse, Lucy Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucy Gray
Context triple: [David Thomson (film critic), spouse, Lucy Gray]
  • A. Jemmy
    Jemmy was an enslaved African man in colonial South Carolina who led the 1739 Stono Rebellion, one of the largest slave uprisings in British North America.
  • B. Lucy
    "Lucy" is a 2014 science fiction action film directed by Luc Besson, in which Scarlett Johansson plays a woman who gains extraordinary mental and physical abilities after a drug enters her system.
  • C. Lucy
    Lucy Hawking is a British journalist, novelist, and educator best known for her children’s science books co-written with her father, physicist Stephen Hawking.
  • D. Lucy
    Lucy is the given name of Lucy Flucker Knox, the wife of American Revolutionary War General Henry Knox and a notable figure in early American history.
  • E. Lucy
    Lucy is the dog companion in the independent drama film "Wendy and Lucy," symbolizing loyalty and hardship in the protagonist's journey.
  • 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: Lucy Gray
Triple: [David Thomson (film critic), spouse, Lucy Gray]
Generated description
Lucy Gray is known as the spouse of British film critic and historian David Thomson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucy Gray
Target entity description: Lucy Gray is known as the spouse of British film critic and historian David Thomson.
  • A. Jemmy
    Jemmy was an enslaved African man in colonial South Carolina who led the 1739 Stono Rebellion, one of the largest slave uprisings in British North America.
  • B. Lucy
    "Lucy" is a 2014 science fiction action film directed by Luc Besson, in which Scarlett Johansson plays a woman who gains extraordinary mental and physical abilities after a drug enters her system.
  • C. Lucy
    Lucy Hawking is a British journalist, novelist, and educator best known for her children’s science books co-written with her father, physicist Stephen Hawking.
  • D. Lucy
    Lucy is the given name of Lucy Flucker Knox, the wife of American Revolutionary War General Henry Knox and a notable figure in early American history.
  • E. Lucy
    Lucy is the dog companion in the independent drama film "Wendy and Lucy," symbolizing loyalty and hardship in the protagonist's journey.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdef7df881908b69aa3c4f50ef94 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd5e17481909fc4303fcc1342bf completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.