Triple

T34779044

Position	Surface form	Disambiguated ID	Type / Status
Subject	New York Symphony	`E1002589`	entity
Predicate	hasFictionalCellist	`P62476`	FINISHED
Object	Sharon Sharon is a fictional cellist character associated with the New York Symphony.	`E2112442`	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: Sharon | Statement: [New York Symphony, hasFictionalCellist, Sharon]

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: Sharon
Triple: [New York Symphony, hasFictionalCellist, Sharon]

Generated description

Sharon is a fictional cellist character associated with the New York Symphony.

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

Target predicate: hasFictionalCellist
Context triple: [New York Symphony, hasFictionalCellist, Sharon]

A. hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
B. isFictionalCharacter
Indicates that the subject is a character that exists only in fiction rather than in real life.
C. isFictionalSong
Indicates that the referenced song exists only in fiction (e.g., within a story, film, game, or other fictional context) and not as a real-world musical work.
D. hasFictionalPerformer chosen
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
E. hasFictionalSpeaker
Indicates that a work, text, or expression is presented as being spoken by an invented or non-real speaker rather than an actual person.
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_69f76db30a108190bb57ca95b873e5bb`	completed	May 3, 2026, 3:45 p.m.
NER	Named-entity recognition	`batch_69ff9b1ad27081908f8a492396950795`	completed	May 9, 2026, 8:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a376641152c81908bed99deaef88a23`	completed	June 21, 2026, 4:19 a.m.
NEDg	Description generation	`batch_6a37670a06888190a62323cca2fb2708`	completed	June 21, 2026, 4:22 a.m.
NED2	Entity disambiguation (via description)	`batch_6a376902593881908e9bdcd5d3231026`	completed	June 21, 2026, 4:30 a.m.
PD	Predicate disambiguation	`batch_69ff9a6354c48190ae21070c1424cb7a`	completed	May 9, 2026, 8:34 p.m.

Created at: May 3, 2026, 3:59 p.m.