Triple

T16993730
Position Surface form Disambiguated ID Type / Status
Subject Spies in Disguise E412260 entity
Predicate screenwriter P2831 FINISHED
Object Lloyd Taylor
Lloyd Taylor is a screenwriter best known for his work on the animated spy comedy film "Spies in Disguise."
 E1244036 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: Lloyd Taylor | Statement: [Spies in Disguise, screenwriter, Lloyd Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lloyd Taylor
Context triple: [Spies in Disguise, screenwriter, Lloyd Taylor]
  • A. Lloyd Taylor
    Lloyd Taylor was an architect known for designing Parliament House in Adelaide, South Australia.
  • B. George Aldrich
    George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
  • C. Gordon Douglas
    Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
  • D. Gerald Ayres
    Gerald Ayres was an American film producer and screenwriter known for his work on influential 1970s films, including collaborations with director Hal Ashby.
  • E. James Nava
    James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
  • 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: Lloyd Taylor
Triple: [Spies in Disguise, screenwriter, Lloyd Taylor]
Generated description
Lloyd Taylor is a screenwriter best known for his work on the animated spy comedy film "Spies in Disguise."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lloyd Taylor
Target entity description: Lloyd Taylor is a screenwriter best known for his work on the animated spy comedy film "Spies in Disguise."
  • A. Lloyd Taylor
    Lloyd Taylor was an architect known for designing Parliament House in Adelaide, South Australia.
  • B. George Aldrich
    George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
  • C. Gordon Douglas
    Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
  • D. Gerald Ayres
    Gerald Ayres was an American film producer and screenwriter known for his work on influential 1970s films, including collaborations with director Hal Ashby.
  • E. James Nava
    James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d28535788190bdfcb6201a9024b5 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a00dc96a9588190b020fd7fd1deee2b completed May 10, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0114e04e00819093805024f8417fad completed May 10, 2026, 11:29 p.m.
Created at: April 10, 2026, 5:32 a.m.