Triple

T17967329
Position Surface form Disambiguated ID Type / Status
Subject Felix E. Feist E449246 entity
Predicate notableWork P4 FINISHED
Object This Woman Is Dangerous
"This Woman Is Dangerous" is a 1952 American film noir crime drama starring Joan Crawford as a hardened gangster facing personal and moral upheaval.
E1299478 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: This Woman Is Dangerous | Statement: [Felix E. Feist, notableWork, This Woman Is Dangerous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: This Woman Is Dangerous
Context triple: [Felix E. Feist, notableWork, This Woman Is Dangerous]
  • A. This Man Is Dangerous
    This Man Is Dangerous is a French crime film featuring Eddie Constantine as the tough, wisecracking detective Lemmy Caution.
  • B. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • C. This Woman
    "This Woman" is a country music album by American singer LeAnn Rimes, noted for its blend of contemporary and traditional country styles.
  • D. Love Is Dangerous
    "Love Is Dangerous" is a song by Blink-182 from their 2011 album "Neighborhoods."
  • E. Hard to Kill
    Hard to Kill is a 1990 action film starring Steven Seagal as a detective who awakens from a coma to seek revenge against corrupt politicians and criminals who tried to kill him.
  • 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: This Woman Is Dangerous
Triple: [Felix E. Feist, notableWork, This Woman Is Dangerous]
Generated description
"This Woman Is Dangerous" is a 1952 American film noir crime drama starring Joan Crawford as a hardened gangster facing personal and moral upheaval.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: This Woman Is Dangerous
Target entity description: "This Woman Is Dangerous" is a 1952 American film noir crime drama starring Joan Crawford as a hardened gangster facing personal and moral upheaval.
  • A. This Man Is Dangerous
    This Man Is Dangerous is a French crime film featuring Eddie Constantine as the tough, wisecracking detective Lemmy Caution.
  • B. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • C. This Woman
    "This Woman" is a country music album by American singer LeAnn Rimes, noted for its blend of contemporary and traditional country styles.
  • D. Love Is Dangerous
    "Love Is Dangerous" is a song by Blink-182 from their 2011 album "Neighborhoods."
  • E. Hard to Kill
    Hard to Kill is a 1990 action film starring Steven Seagal as a detective who awakens from a coma to seek revenge against corrupt politicians and criminals who tried to kill him.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b13935908190b5269a84a3df2460 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330120d1881908801112f9f400cd0 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a0333edd0188190aa87c462813527a6 completed May 12, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_6a03347520ac8190b0b1ebfa122bfbf0 completed May 12, 2026, 2:08 p.m.
Created at: April 10, 2026, 10:22 a.m.