Triple

T10027085
Position Surface form Disambiguated ID Type / Status
Subject Put Your Back N 2 It E200757 entity
Predicate hasTrack P3284 FINISHED
Object Take Me Home E521419 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: Take Me Home | Statement: [Put Your Back N 2 It, hasTrack, Take Me Home]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take Me Home
Context triple: [Put Your Back N 2 It, hasTrack, Take Me Home]
  • A. Take Me Home chosen
    "Take Me Home" is a song featured on the soundtrack of the James Bond film "For Your Eyes Only."
  • B. Take Me Home
    Take Me Home is the second studio album by British-Irish boy band One Direction, featuring pop-driven tracks that helped solidify their global success.
  • C. Can't Take Me Home
    Can't Take Me Home is the R&B-influenced debut studio album by American singer Pink, released in 2000 and featuring hits like "There You Go" and "Most Girls."
  • D. I Will Take You Home
    "I Will Take You Home" is a song by the Grateful Dead featured on their 1989 studio album "Built to Last."
  • E. Take Me Home Tonight
    Take Me Home Tonight is a 2011 retro-style comedy film set in the late 1980s, following a recent college graduate’s misadventures during one wild night at a Labor Day weekend party.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac9cdfc8190b91746855bf3de12 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:54 p.m.