Triple

T15434444
Position Surface form Disambiguated ID Type / Status
Subject TM88 E369721 entity
Predicate notableWork P4 FINISHED
Object All My Friends E1142421 NE FINISHED

How this triple was built (2 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: All My Friends | Statement: [TM88, notableWork, All My Friends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All My Friends
Context triple: [TM88, notableWork, All My Friends]
  • A. All My Friends chosen
    "All My Friends" is a song by the American indie rock band Pavement, known as a B-side from their 1994 era.
  • B. All My Friends Say
    "All My Friends Say" is a breakout country single by Luke Bryan that helped launch his mainstream music career.
  • C. My Friends
    "My Friends" is a dark, introspective ballad from the musical *Sweeney Todd: The Demon Barber of Fleet Street*, in which Todd expresses his twisted affection for his razors.
  • D. My Friends
    My Friends is a classic 1975 Italian comedy-drama film, co-written by Furio Scarpelli, that follows a group of middle-aged friends in Florence as they engage in elaborate pranks and reflect on aging, friendship, and regret.
  • E. I Have Friends
    "I Have Friends" is a comedic musical number from the TV series Crazy Ex-Girlfriend in which the protagonist enthusiastically, and somewhat desperately, insists she has a robust social life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a3d1f481908f6795656514b2b4 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.