Triple

T11319374
Position Surface form Disambiguated ID Type / Status
Subject Meg Tilly E268050 entity
Predicate authorOf P4244 FINISHED
Object Singing Songs
"Singing Songs" is a semi-autobiographical novel by Meg Tilly that explores a young girl's experience growing up in a troubled, abusive family.
E918936 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: Singing Songs | Statement: [Meg Tilly, authorOf, Singing Songs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singing Songs
Context triple: [Meg Tilly, authorOf, Singing Songs]
  • A. Sing
    "Sing" is a gentle, melodic pop song popularized by the soft rock duo The Carpenters in the 1970s.
  • B. Sing
    Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
  • C. Singen
    Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
  • D. Canciones (Songs)
    Canciones (Songs) is a collection of lyrical poems by the Spanish Renaissance poet Garcilaso de la Vega, showcasing his refined style and themes of love and classical humanism.
  • E. Sing My Songs to Me
    "Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
  • 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: Singing Songs
Triple: [Meg Tilly, authorOf, Singing Songs]
Generated description
"Singing Songs" is a semi-autobiographical novel by Meg Tilly that explores a young girl's experience growing up in a troubled, abusive family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Singing Songs
Target entity description: "Singing Songs" is a semi-autobiographical novel by Meg Tilly that explores a young girl's experience growing up in a troubled, abusive family.
  • A. Sing
    Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
  • B. Sing
    "Sing" is a gentle, melodic pop song popularized by the soft rock duo The Carpenters in the 1970s.
  • C. Singen
    Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
  • D. Canciones (Songs)
    Canciones (Songs) is a collection of lyrical poems by the Spanish Renaissance poet Garcilaso de la Vega, showcasing his refined style and themes of love and classical humanism.
  • E. Sing My Songs to Me
    "Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c81449c8190847b64fa91a45b2e completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.