Triple

T14290719
Position Surface form Disambiguated ID Type / Status
Subject The Burning E354301 entity
Predicate stars P1956 FINISHED
Object Lou David
Lou David is an actor best known for his role in the 1981 slasher film "The Burning."
E1097216 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: Lou David | Statement: [The Burning, stars, Lou David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou David
Context triple: [The Burning, stars, Lou David]
  • A. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • B. Leo Hunt
    Leo Hunt is a fictional child character in the television series "Grey's Anatomy," known as the son of trauma surgeon Owen Hunt.
  • C. Lou Johnson
    Lou Johnson was an American Major League Baseball outfielder best known for his clutch hitting with the Los Angeles Dodgers in the mid-1960s.
  • D. Johnny Lloyd
    Johnny Lloyd is a British musician and former frontman of the indie rock band Tribes, known in recent years for his solo work and his relationship with actress and singer Billie Piper.
  • E. Len Elmore
    Len Elmore is a former American professional basketball player, college basketball star at the University of Maryland, and longtime television sports analyst and legal analyst.
  • 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: Lou David
Triple: [The Burning, stars, Lou David]
Generated description
Lou David is an actor best known for his role in the 1981 slasher film "The Burning."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lou David
Target entity description: Lou David is an actor best known for his role in the 1981 slasher film "The Burning."
  • A. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • B. Leo Hunt
    Leo Hunt is a fictional child character in the television series "Grey's Anatomy," known as the son of trauma surgeon Owen Hunt.
  • C. Lou Johnson
    Lou Johnson was an American Major League Baseball outfielder best known for his clutch hitting with the Los Angeles Dodgers in the mid-1960s.
  • D. Johnny Lloyd
    Johnny Lloyd is a British musician and former frontman of the indie rock band Tribes, known in recent years for his solo work and his relationship with actress and singer Billie Piper.
  • E. Len Elmore
    Len Elmore is a former American professional basketball player, college basketball star at the University of Maryland, and longtime television sports analyst and legal analyst.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5504dc6c8190a4d8a5985632901d completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd569747708190b6cae2679cf9df89 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd5702e95481909f02440dbb233902 completed May 8, 2026, 3:22 a.m.
Created at: April 10, 2026, 1:11 a.m.