Triple

T18419722
Position Surface form Disambiguated ID Type / Status
Subject 3 + 3 E441989 entity
Predicate hasPart P35 FINISHED
Object If You Were There
"If You Were There" is a song by the English pop duo Wham!, originally released on their 1984 album "Make It Big."
E1323858 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: If You Were There | Statement: [3 + 3, hasPart, If You Were There]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If You Were There
Context triple: [3 + 3, hasPart, If You Were There]
  • A. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • B. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • C. We Were There
    "We Were There" is a track featured on Marcus Miller’s jazz-fusion album "Afrodeezia."
  • D. If You Hadn't Been There
    "If You Hadn't Been There" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
  • E. If You Were Here
    "If You Were Here" is a suspenseful crime novel by Alafair Burke that follows a journalist investigating the mysterious reappearance of a long-missing friend, uncovering secrets and corruption along the way.
  • 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: If You Were There
Triple: [3 + 3, hasPart, If You Were There]
Generated description
"If You Were There" is a song by the English pop duo Wham!, originally released on their 1984 album "Make It Big."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: If You Were There
Target entity description: "If You Were There" is a song by the English pop duo Wham!, originally released on their 1984 album "Make It Big."
  • A. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • B. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • C. We Were There
    "We Were There" is a track featured on Marcus Miller’s jazz-fusion album "Afrodeezia."
  • D. If You Hadn't Been There
    "If You Hadn't Been There" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
  • E. If You Were Here
    "If You Were Here" is a suspenseful crime novel by Alafair Burke that follows a journalist investigating the mysterious reappearance of a long-missing friend, uncovering secrets and corruption along the way.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2b0f0481909c3995bf532162a3 completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0a633448190880b67ffe4f4e55b completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f21c622c81909f34f0d3da0c4491 completed May 13, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a03f356e48c81908d74414b736303a4 completed May 13, 2026, 3:43 a.m.
Created at: April 10, 2026, 10:47 a.m.