Triple

T28550741

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sale and Pelletier	`E722878`	entity
Predicate	notableProgramMusic	`P36596`	FINISHED
Object	Love Story by Francis Lai "Love Story" by Francis Lai is a famous, romantic film score theme from the 1970 movie "Love Story," renowned for its sweeping melody and emotional impact.	`E1822044`	NE FINISHED

How this triple was built (3 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: Love Story by Francis Lai | Statement: [Sale and Pelletier, notableProgramMusic, Love Story by Francis Lai]

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: Love Story by Francis Lai
Triple: [Sale and Pelletier, notableProgramMusic, Love Story by Francis Lai]

Generated description

"Love Story" by Francis Lai is a famous, romantic film score theme from the 1970 movie "Love Story," renowned for its sweeping melody and emotional impact.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: notableProgramMusic
Context triple: [Sale and Pelletier, notableProgramMusic, Love Story by Francis Lai]

A. notableTune
Indicates that a tune is especially significant, well-known, or characteristic in relation to a particular entity.
B. notableComposition chosen
Indicates that an entity is a significant or well-known work created by another entity, such as a notable musical, literary, or artistic composition.
C. notableRecordingType
Indicates that the subject is notably associated with recordings of a particular type or format.
D. notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
E. notableConcert
Indicates that a concert event is recognized as particularly significant, memorable, or influential in some notable way.
F. None of above.

Provenance (6 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_69f01a60204481909af1bb76247b8221`	completed	April 28, 2026, 2:24 a.m.
NER	Named-entity recognition	`batch_6a013632a3048190b05716d803f34716`	completed	May 11, 2026, 1:51 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cac6dd068819088eab5fd18c6df1e`	completed	May 31, 2026, 9:47 p.m.
NEDg	Description generation	`batch_6a1cad2176088190b0a526811f5c0016`	completed	May 31, 2026, 9:50 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cadf50e1c81908235678a32385afb`	completed	May 31, 2026, 9:53 p.m.
PD	Predicate disambiguation	`batch_6a01309582e48190a05d47d96ffb7a46`	completed	May 11, 2026, 1:27 a.m.

Created at: April 28, 2026, 3:42 a.m.