Triple

T3155109
Position Surface form Disambiguated ID Type / Status
Subject More Than We Know E65966 entity
Predicate title P38 FINISHED
Object More Than We Know E65966 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: More Than We Know | Statement: [More Than We Know, title, More Than We Know]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: More Than We Know
Context triple: [More Than We Know, title, More Than We Know]
  • A. More Than We Know chosen
    "More Than We Know" is a song featured on the album "Here."
  • B. All We Know
    "All We Know" is a 2016 melodic EDM-pop song by The Chainsmokers featuring Phoebe Ryan, known for its emotive lyrics and atmospheric production.
  • C. They Knew What They Wanted
    They Knew What They Wanted is a Pulitzer Prize-winning 1924 Broadway play by Sidney Howard that explores themes of love, deception, and identity in rural California.
  • D. I Want You to Know
    "I Want You to Know" is a 2015 EDM-pop single by Zedd featuring Selena Gomez that became a commercial hit for its catchy, danceable production and emotive vocals.
  • E. Heaven Knows What
    Heaven Knows What is a gritty 2014 independent drama film about a young heroin addict in New York City, directed by Josh and Benny Safdie and known for its raw, documentary-like realism.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e97548819084643586fff2e3cb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b225068444819080e2b8b6b1260613 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.