Triple

T9237378
Position Surface form Disambiguated ID Type / Status
Subject Amy Grant E221970 entity
Predicate notableSong P4 FINISHED
Object Thy Word
"Thy Word" is a popular contemporary Christian worship song by Amy Grant, known for its lyrics inspired by Psalm 119:105.
 E787100 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: Thy Word | Statement: [Amy Grant, notableSong, Thy Word]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thy Word
Context triple: [Amy Grant, notableSong, Thy Word]
  • A. In Your Words
    "In Your Words" is a pop song by American singer Rebecca Black that showcases her more mature musical style following her viral debut with "Friday."
  • B. The Words
    The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
  • C. The Words
    The Words is a 2012 drama film about a struggling writer who achieves fame by passing off another man's manuscript as his own, exploring themes of authorship, guilt, and moral consequence.
  • D. Thousand Words
    Thousand Words is an American film production company known for backing independent and critically acclaimed movies such as "Requiem for a Dream."
  • E. Only These Words
    "Only These Words" is a song featured on the album *Higher Truth* by Chris Cornell.
  • 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: Thy Word
Triple: [Amy Grant, notableSong, Thy Word]
Generated description
"Thy Word" is a popular contemporary Christian worship song by Amy Grant, known for its lyrics inspired by Psalm 119:105.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thy Word
Target entity description: "Thy Word" is a popular contemporary Christian worship song by Amy Grant, known for its lyrics inspired by Psalm 119:105.
  • A. In Your Words
    "In Your Words" is a pop song by American singer Rebecca Black that showcases her more mature musical style following her viral debut with "Friday."
  • B. The Words
    The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
  • C. The Words
    The Words is a 2012 drama film about a struggling writer who achieves fame by passing off another man's manuscript as his own, exploring themes of authorship, guilt, and moral consequence.
  • D. Thousand Words
    Thousand Words is an American film production company known for backing independent and critically acclaimed movies such as "Requiem for a Dream."
  • E. Only These Words
    "Only These Words" is a song featured on the album *Higher Truth* by Chris Cornell.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07da85c748190ab7096ce3d3d2319 completed April 4, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69d07e52c0788190a5009a7fe649a6c7 completed April 4, 2026, 2:58 a.m.
Created at: March 30, 2026, 7:29 p.m.