Triple

T8696246
Position Surface form Disambiguated ID Type / Status
Subject Nice As Fuck E206410 entity
Predicate hasSong P20452 FINISHED
Object Angel Eyes
"Angel Eyes" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, feminist themes.
E750777 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: Angel Eyes | Statement: [Nice As Fuck, hasSong, Angel Eyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Eyes
Context triple: [Nice As Fuck, hasSong, Angel Eyes]
  • A. Angel Eyes
    Angel Eyes is the ruthless, cold-blooded bounty hunter and primary antagonist portrayed by Lee Van Cleef in the classic Spaghetti Western film "The Good, the Bad and the Ugly."
  • B. Angel Eyes
    Angel Eyes is a 2001 romantic drama film starring Jennifer Lopez as a Chicago police officer who forms a healing bond with a mysterious, traumatized man.
  • C. In His Eyes
    "In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
  • D. The Devil In Your Eyes
    The Devil In Your Eyes is a track from the progressive metal album "The Human Condition" by Saga.
  • E. Eye to Eye
    Eye to Eye is a creative work whose title matches its own name, likely a book, film, song, or television program centered on themes of direct confrontation or mutual understanding.
  • 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: Angel Eyes
Triple: [Nice As Fuck, hasSong, Angel Eyes]
Generated description
"Angel Eyes" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, feminist themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angel Eyes
Target entity description: "Angel Eyes" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, feminist themes.
  • A. Angel Eyes
    Angel Eyes is the ruthless, cold-blooded bounty hunter and primary antagonist portrayed by Lee Van Cleef in the classic Spaghetti Western film "The Good, the Bad and the Ugly."
  • B. Angel Eyes
    Angel Eyes is a 2001 romantic drama film starring Jennifer Lopez as a Chicago police officer who forms a healing bond with a mysterious, traumatized man.
  • C. In His Eyes
    "In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
  • D. The Devil In Your Eyes
    The Devil In Your Eyes is a track from the progressive metal album "The Human Condition" by Saga.
  • E. Eye to Eye
    Eye to Eye is a creative work whose title matches its own name, likely a book, film, song, or television program centered on themes of direct confrontation or mutual understanding.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc582996a0819097ad03097ad1f103 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3fc5a788190a765942fc0b964c9 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef52200788190a8173da1aaa4f681 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef6c109b08190bb29ce2747f3ccb7 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:34 p.m.