Triple

T5963874
Position Surface form Disambiguated ID Type / Status
Subject Nanci Griffith E132704 entity
Predicate notableWork P4 FINISHED
Object From a Distance E60492 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: From a Distance | Statement: [Nanci Griffith, notableWork, From a Distance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: From a Distance
Context triple: [Nanci Griffith, notableWork, From a Distance]
  • A. From a Distance chosen
    "From a Distance" is a popular ballad best known through Bette Midler’s Grammy-winning 1990 recording, which became an international hit and an emblematic peace-themed song.
  • B. Far Away
    "Far Away" is a song featured in the Japanese musical production "Leave It to Me!"
  • C. The Distance Between You and Me
    "The Distance Between You and Me" is a song featured on Dwight Yoakam’s 1990 country album "If There Was a Way."
  • D. Far from Over
    "Far from Over" is a 1983 rock song by Frank Stallone that gained popularity as part of the soundtrack for the film "Staying Alive."
  • E. Farther Away
    Farther Away is a 2012 collection of essays by Jonathan Franzen that blends literary criticism, personal reflection, and environmental concerns.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3f32e8481908a6075684287c412 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:03 p.m.