Triple

T6360107
Position Surface form Disambiguated ID Type / Status
Subject D’eux E143087 entity
Predicate hasTrack P3284 FINISHED
Object Regarde-moi
"Regarde-moi" is a song by the French pop duo D’eux.
 E587583 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: Regarde-moi | Statement: [D’eux, hasTrack, Regarde-moi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Regarde-moi
Context triple: [D’eux, hasTrack, Regarde-moi]
  • A. Look at Me
    "Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
  • B. Who Look at Me
    "Who Look at Me" is a book by poet and activist June Jordan that combines poetry and commentary to explore race, identity, and the Black experience in America.
  • C. Look at Us
    "Look at Us" is a popular country ballad by Vince Gill, celebrated for its heartfelt portrayal of enduring love and its success on the country music charts.
  • D. Voulez-Vous
    "Voulez-Vous" is a disco-driven ABBA song known for its energetic rhythm and prominent use in the musical and film adaptation of Mamma Mia!.
  • E. Take a look at me now
    "Take a look at me now" is the emotionally charged chorus hook from Phil Collins' power ballad "Against All Odds (Take a Look at Me Now)," expressing a sense of loss and longing after a breakup.
  • 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: Regarde-moi
Triple: [D’eux, hasTrack, Regarde-moi]
Generated description
"Regarde-moi" is a song by the French pop duo D’eux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Regarde-moi
Target entity description: "Regarde-moi" is a song by the French pop duo D’eux.
  • A. Look at Me
    "Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
  • B. Who Look at Me
    "Who Look at Me" is a book by poet and activist June Jordan that combines poetry and commentary to explore race, identity, and the Black experience in America.
  • C. Look at Us
    "Look at Us" is a popular country ballad by Vince Gill, celebrated for its heartfelt portrayal of enduring love and its success on the country music charts.
  • D. Voulez-Vous
    "Voulez-Vous" is a disco-driven ABBA song known for its energetic rhythm and prominent use in the musical and film adaptation of Mamma Mia!.
  • E. Take a look at me now
    "Take a look at me now" is the emotionally charged chorus hook from Phil Collins' power ballad "Against All Odds (Take a Look at Me Now)," expressing a sense of loss and longing after a breakup.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f8758081909c5ce40abf57dd2c completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d66a8a08190b52bb8302787dac5 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62e430ac08190bacf74f6086b2ac5 completed March 27, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69c62f03ea408190a0959b8f2aa746c1 completed March 27, 2026, 7:17 a.m.
Created at: March 22, 2026, 4:32 p.m.