Triple

T5319102
Position Surface form Disambiguated ID Type / Status
Subject Buenas Noches from a Lonely Room E121626 entity
Predicate includesTrack P3284 FINISHED
Object Send Me the Pillow
"Send Me the Pillow" is a classic country song best known through numerous recordings, including a popular version by Hank Locklin.
 E510264 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: Send Me the Pillow | Statement: [Buenas Noches from a Lonely Room, includesTrack, Send Me the Pillow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Send Me the Pillow
Context triple: [Buenas Noches from a Lonely Room, includesTrack, Send Me the Pillow]
  • A. Helmet for My Pillow
    Helmet for My Pillow is a World War II memoir by U.S. Marine Robert Leckie recounting his combat experiences in the Pacific theater.
  • B. My Bed
    My Bed is a provocative installation artwork by Tracey Emin featuring her own unmade, disheveled bed surrounded by personal detritus, emblematic of the Young British Artists movement and confessional contemporary art.
  • C. Sleep on It
    "Sleep on It" is a song by American R&B singer Chaka Khan.
  • D. Tuck You In
    Tuck You In is a song featured on the album "Evolver."
  • E. Pillow of Your Bones
    "Pillow of Your Bones" is a moody, introspective rock song by Chris Cornell that showcases his distinctive vocals and dark, atmospheric songwriting.
  • 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: Send Me the Pillow
Triple: [Buenas Noches from a Lonely Room, includesTrack, Send Me the Pillow]
Generated description
"Send Me the Pillow" is a classic country song best known through numerous recordings, including a popular version by Hank Locklin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Send Me the Pillow
Target entity description: "Send Me the Pillow" is a classic country song best known through numerous recordings, including a popular version by Hank Locklin.
  • A. Helmet for My Pillow
    Helmet for My Pillow is a World War II memoir by U.S. Marine Robert Leckie recounting his combat experiences in the Pacific theater.
  • B. My Bed
    My Bed is a provocative installation artwork by Tracey Emin featuring her own unmade, disheveled bed surrounded by personal detritus, emblematic of the Young British Artists movement and confessional contemporary art.
  • C. Sleep on It
    "Sleep on It" is a song by American R&B singer Chaka Khan.
  • D. Tuck You In
    Tuck You In is a song featured on the album "Evolver."
  • E. Pillow of Your Bones
    "Pillow of Your Bones" is a moody, introspective rock song by Chris Cornell that showcases his distinctive vocals and dark, atmospheric songwriting.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855407048190bcdb97c7098cc2aa completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1113e04c8190a3d13a0e40273f8d completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11a6cc188190888b4b976f07f11c completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf1250e99c81909ded67d5a6c39ce9 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:59 p.m.