Triple

T1594565
Position Surface form Disambiguated ID Type / Status
Subject Ryan Tedder E34249 entity
Predicate notableWork P4 FINISHED
Object XO
"XO" is a song by American singer Beyoncé, co-written and produced by Ryan Tedder, known for its atmospheric pop sound and emotive vocals.
E180763 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: XO | Statement: [Ryan Tedder, notableWork, XO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XO
Context triple: [Ryan Tedder, notableWork, XO]
  • A. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • B. X-32
    X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
  • C. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • D. X-Kid
    X-Kid is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
  • E. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • 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: XO
Triple: [Ryan Tedder, notableWork, XO]
Generated description
"XO" is a song by American singer Beyoncé, co-written and produced by Ryan Tedder, known for its atmospheric pop sound and emotive vocals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: XO
Target entity description: "XO" is a song by American singer Beyoncé, co-written and produced by Ryan Tedder, known for its atmospheric pop sound and emotive vocals.
  • A. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • B. X-32
    X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
  • C. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • D. X-Kid
    X-Kid is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
  • E. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a595488190a73cfa867595b568 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad47fde094819093f7f1240b7bd520 completed March 8, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad48550d4c8190bdaa68de5ba1b321 completed March 8, 2026, 9:58 a.m.
Created at: March 4, 2026, 7:27 p.m.