Triple

T37106969

Position	Surface form	Disambiguated ID	Type / Status
Subject	Academy Award for Best Supporting Actor for "Moonstruck"	`E918867`	entity
Predicate	relatedAwardForSameFilm	`P205733`	FINISHED
Object	Academy Award for Best Actress for "Moonstruck" The Academy Award for Best Actress for "Moonstruck" is the Oscar given to the film's lead female performer, recognizing her outstanding acting in the 1987 romantic comedy-drama.	`E2212104`	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: Academy Award for Best Actress for "Moonstruck" | Statement: [Academy Award for Best Supporting Actor for "Moonstruck", relatedAwardForSameFilm, Academy Award for Best Actress for "Moonstruck"]

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: Academy Award for Best Actress for "Moonstruck"
Triple: [Academy Award for Best Supporting Actor for "Moonstruck", relatedAwardForSameFilm, Academy Award for Best Actress for "Moonstruck"]

Generated description

The Academy Award for Best Actress for "Moonstruck" is the Oscar given to the film's lead female performer, recognizing her outstanding acting in the 1987 romantic comedy-drama.

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

Target predicate: relatedAwardForSameFilm
Context triple: [Academy Award for Best Supporting Actor for "Moonstruck", relatedAwardForSameFilm, Academy Award for Best Actress for "Moonstruck"]

A. associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
B. associatedAwardWinningFilm
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
C. relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
D. alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
E. laterAlsoAwardedTo
Indicates that an award or recognition initially given to one entity was subsequently also given to another entity at a later time.
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_69f76e9b99c8819096164b21ff5bd996`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a037cad051c8190b28b354b89208574`	completed	May 12, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3efdd9b70481908a7d5a07059bcd22`	completed	June 26, 2026, 10:31 p.m.
NEDg	Description generation	`batch_6a3efe6ea4188190bd3e4b6c1a608d10`	completed	June 26, 2026, 10:34 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3eff31b0148190a5f314ce6a009c55`	completed	June 26, 2026, 10:37 p.m.
PD	Predicate disambiguation	`batch_6a037a11efc08190bb7cacc1325b4dc6`	completed	May 12, 2026, 7:05 p.m.
PDg	Predicate description generation	`batch_6a037c842b2c819082f1d2db995ac2eb`	completed	May 12, 2026, 7:16 p.m.

Created at: May 3, 2026, 4:14 p.m.