Triple

T1416113
Position Surface form Disambiguated ID Type / Status
Subject Veronica Lake E31920 entity
Predicate spouse P13 FINISHED
Object André De Toth
André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
E162921 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: André De Toth | Statement: [Veronica Lake, spouse, André De Toth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André De Toth
Context triple: [Veronica Lake, spouse, André De Toth]
  • A. Monte Hellman
    Monte Hellman was an American film director and producer best known for his influential low-budget cult classics, including the road movie "Two-Lane Blacktop."
  • B. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • C. Anthony Mann
    Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
  • D. Samuel Fuller
    Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
  • E. Don Siegel
    Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
  • 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: André De Toth
Triple: [Veronica Lake, spouse, André De Toth]
Generated description
André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: André De Toth
Target entity description: André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
  • A. Monte Hellman
    Monte Hellman was an American film director and producer best known for his influential low-budget cult classics, including the road movie "Two-Lane Blacktop."
  • B. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • C. Anthony Mann
    Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
  • D. Samuel Fuller
    Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
  • E. Don Siegel
    Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c402b1648190b87802d9beb2712e completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5812abc819091894509e9d6bd77 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace95beb64819081f6f169c86105fd completed March 8, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69ace9bd8fcc8190b25515f2ba1284c0 completed March 8, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:59 p.m.