Triple

T37679517

Position	Surface form	Disambiguated ID	Type / Status
Subject	Jane Eyre (1970 film)	`E938187`	entity
Predicate	musicAwardedTo	`P197115`	FINISHED
Object	John Williams John Williams is an acclaimed American composer and conductor best known for his iconic film scores for movies such as Star Wars, Jaws, E.T., and Jurassic Park.	`E20414`	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: John Williams | Statement: [Jane Eyre (1970 film), musicAwardedTo, John Williams]

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: John Williams
Triple: [Jane Eyre (1970 film), musicAwardedTo, John Williams]

Generated description

John Williams is an acclaimed American composer and conductor best known for his iconic film scores for movies such as Star Wars, Jaws, E.T., and Jurassic Park.

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

Target predicate: musicAwardedTo
Context triple: [Jane Eyre (1970 film), musicAwardedTo, John Williams]

A. albumAwardedTo
Indicates that a particular album has been granted or assigned to a specific recipient, such as an artist or group.
B. recordOfTheYearWinnerArtist
Indicates the artist who won the Record of the Year award for a given recording or year.
C. grammyNomination
Indicates that an entity has been officially nominated for a Grammy Award in a particular category and year.
D. winnerArtist
Indicates that an artist is the winner of a particular contest, award, or competitive event.
E. holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
F. None of above. chosen

Provenance (7 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_69f76ed7b1408190ba8c93c53cb8becf`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fe779248c081909f0ed1a2a0df23db`	completed	May 8, 2026, 11:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40cdb706e08190a9d3a1e1f1e98fd2`	completed	June 28, 2026, 7:31 a.m.
NEDg	Description generation	`batch_6a40cf18930c819099267b4a012d7873`	completed	June 28, 2026, 7:36 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40d1ade62c81908824f28dbdf2e129`	completed	June 28, 2026, 7:47 a.m.
PD	Predicate disambiguation	`batch_69fe76eaf6d48190998bc7168749cc42`	completed	May 8, 2026, 11:51 p.m.
PDg	Predicate description generation	`batch_69fe779167648190936bd49cc1049178`	completed	May 8, 2026, 11:53 p.m.

Created at: May 3, 2026, 4:18 p.m.