Triple

T15594994
Position Surface form Disambiguated ID Type / Status
Subject One to One E374868 entity
Predicate hasPart P35 FINISHED
Object Read Between the Lines
Read Between the Lines is a song featured on the album "One to One."
 E1166725 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: Read Between the Lines | Statement: [One to One, hasPart, Read Between the Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Read Between the Lines
Context triple: [One to One, hasPart, Read Between the Lines]
  • A. Between the Lines
    "Between the Lines" is a song featured on the album *Careful Confessions* by singer-songwriter Sara Bareilles.
  • B. Between the Lines
    Between the Lines is a 1977 American independent comedy-drama film about the staff of an alternative Boston newspaper, noted for its ensemble cast and portrayal of countercultural journalism.
  • C. Reed Between the Lines
    Reed Between the Lines is an American family sitcom that follows a modern, blended African-American family navigating everyday life and relationships.
  • D. Inside the Lines
    Inside the Lines is a 1930s-era American mystery–spy film directed by Hamilton MacFadden, centered on wartime espionage and intrigue.
  • E. Read My Lips
    Read My Lips is Tim Curry’s debut solo studio album, showcasing his theatrical rock and pop interpretations of various songs.
  • 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: Read Between the Lines
Triple: [One to One, hasPart, Read Between the Lines]
Generated description
Read Between the Lines is a song featured on the album "One to One."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Read Between the Lines
Target entity description: Read Between the Lines is a song featured on the album "One to One."
  • A. Between the Lines
    "Between the Lines" is a song featured on the album *Careful Confessions* by singer-songwriter Sara Bareilles.
  • B. Between the Lines
    Between the Lines is a 1977 American independent comedy-drama film about the staff of an alternative Boston newspaper, noted for its ensemble cast and portrayal of countercultural journalism.
  • C. Reed Between the Lines
    Reed Between the Lines is an American family sitcom that follows a modern, blended African-American family navigating everyday life and relationships.
  • D. Inside the Lines
    Inside the Lines is a 1930s-era American mystery–spy film directed by Hamilton MacFadden, centered on wartime espionage and intrigue.
  • E. Read My Lips
    Read My Lips is Tim Curry’s debut solo studio album, showcasing his theatrical rock and pop interpretations of various songs.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff58687e4c8190a4054c4d5419a76a completed May 9, 2026, 3:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff58d92218819085877be120fdcc01 completed May 9, 2026, 3:55 p.m.
Created at: April 10, 2026, 4:12 a.m.