Triple

T10121352
Position Surface form Disambiguated ID Type / Status
Subject Carol Higgins Clark E223296 entity
Predicate notableWork P4 FINISHED
Object Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
 E842545 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: Burned | Statement: [Carol Higgins Clark, notableWork, Burned]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burned
Context triple: [Carol Higgins Clark, notableWork, Burned]
  • A. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • B. The Burn
    The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
  • C. Burn On
    "Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
  • D. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • E. Burn
    Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
  • 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: Burned
Triple: [Carol Higgins Clark, notableWork, Burned]
Generated description
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burned
Target entity description: Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
  • A. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • B. The Burn
    The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
  • C. Burn On
    "Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
  • D. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • E. Burn
    Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd266b18c8190b35fe637c912e756 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.