Triple

T5227202
Position Surface form Disambiguated ID Type / Status
Subject Leave It to Me! E118018 entity
Predicate hasMusicNumber P20452 FINISHED
Object Far Away
"Far Away" is a song featured in the Japanese musical production "Leave It to Me!"
E502664 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: Far Away | Statement: [Leave It to Me!, hasMusicNumber, Far Away]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Far Away
Context triple: [Leave It to Me!, hasMusicNumber, Far Away]
  • A. Farther Away
    Farther Away is a 2012 collection of essays by Jonathan Franzen that blends literary criticism, personal reflection, and environmental concerns.
  • B. Never Far Away
    "Never Far Away" is a song featured on the soundtrack of the 1996 slasher film "Scream."
  • C. So Far Away
    "So Far Away" is a reflective soft rock ballad by Carole King, best known from her landmark 1971 album "Tapestry."
  • D. Faraway, So Close!
    Faraway, So Close! is a 1993 fantasy drama film directed by Wim Wenders that continues the story of angels observing and intervening in human life in Berlin, serving as a sequel to his acclaimed film Wings of Desire.
  • E. From a Distance
    "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.
  • 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: Far Away
Triple: [Leave It to Me!, hasMusicNumber, Far Away]
Generated description
"Far Away" is a song featured in the Japanese musical production "Leave It to Me!"
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Far Away
Target entity description: "Far Away" is a song featured in the Japanese musical production "Leave It to Me!"
  • A. Farther Away
    Farther Away is a 2012 collection of essays by Jonathan Franzen that blends literary criticism, personal reflection, and environmental concerns.
  • B. Never Far Away
    "Never Far Away" is a song featured on the soundtrack of the 1996 slasher film "Scream."
  • C. So Far Away
    "So Far Away" is a reflective soft rock ballad by Carole King, best known from her landmark 1971 album "Tapestry."
  • D. Faraway, So Close!
    Faraway, So Close! is a 1993 fantasy drama film directed by Wim Wenders that continues the story of angels observing and intervening in human life in Berlin, serving as a sequel to his acclaimed film Wings of Desire.
  • E. From a Distance
    "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.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd847049648190ab24693e92f0dad1 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeffea8f481909c86c932781c4e2a completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef097f5e48190b8a28995f345c764 completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef0f0ceb081908600d75b6e52f45a completed March 21, 2026, 7:26 p.m.
Created at: March 20, 2026, 1:48 p.m.