Triple

T3572616
Position Surface form Disambiguated ID Type / Status
Subject Olivia Newton-John E75608 entity
Predicate notableSong P4 FINISHED
Object Let Me Be There
"Let Me Be There" is a 1973 country-pop song by Olivia Newton-John that became one of her early breakthrough hits and earned her a Grammy Award.
 E368832 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: Let Me Be There | Statement: [Olivia Newton-John, notableSong, Let Me Be There]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Let Me Be There
Context triple: [Olivia Newton-John, notableSong, Let Me Be There]
  • A. Be My Love
    "Be My Love" is a popular romantic song from the 1950 film "The Toast of New Orleans," best known for Mario Lanza’s hit recording and its enduring status as a classic vocal standard.
  • B. Could You Be Loved
    "Could You Be Loved" is a popular reggae song by Bob Marley and the Wailers, known for its upbeat groove and message of love and resilience.
  • C. I'll Be There
    "I'll Be There" is a soulful 1970 ballad by The Jackson 5 that became one of their signature hits and a defining Motown classic.
  • D. I’ll Be There
    "I’ll Be There" is a soulful track performed by Cissy Houston, featured on her self-titled album.
  • E. I Want to Be with You
    "I Want to Be with You" is a soul/R&B song popularized by American singer Dee Dee Warwick in the 1960s.
  • 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: Let Me Be There
Triple: [Olivia Newton-John, notableSong, Let Me Be There]
Generated description
"Let Me Be There" is a 1973 country-pop song by Olivia Newton-John that became one of her early breakthrough hits and earned her a Grammy Award.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Let Me Be There
Target entity description: "Let Me Be There" is a 1973 country-pop song by Olivia Newton-John that became one of her early breakthrough hits and earned her a Grammy Award.
  • A. Be My Love
    "Be My Love" is a popular romantic song from the 1950 film "The Toast of New Orleans," best known for Mario Lanza’s hit recording and its enduring status as a classic vocal standard.
  • B. Could You Be Loved
    "Could You Be Loved" is a popular reggae song by Bob Marley and the Wailers, known for its upbeat groove and message of love and resilience.
  • C. I'll Be There
    "I'll Be There" is a soulful 1970 ballad by The Jackson 5 that became one of their signature hits and a defining Motown classic.
  • D. I’ll Be There
    "I’ll Be There" is a soulful track performed by Cissy Houston, featured on her self-titled album.
  • E. I Want to Be with You
    "I Want to Be with You" is a soul/R&B song popularized by American singer Dee Dee Warwick in the 1960s.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c447fc81909689259558187af4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbbcf2d08190901049948df66f0c completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bca07cac81908253b2b4225f3d67 completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b6e66c81908700d5f3df0a864d completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.