Triple

T33914395

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Gauntlet	`E869410`	entity
Predicate	leadActressPlaysCharacter	`P183760`	FINISHED
Object	Sondra Locke as Gus Mally Sondra Locke as Gus Mally is the female lead in the 1977 action thriller "The Gauntlet," portraying a tough, streetwise prostitute who becomes Clint Eastwood’s character’s key witness and reluctant partner.	`E2073906`	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: Sondra Locke as Gus Mally | Statement: [The Gauntlet, leadActressPlaysCharacter, Sondra Locke as Gus Mally]

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: Sondra Locke as Gus Mally
Triple: [The Gauntlet, leadActressPlaysCharacter, Sondra Locke as Gus Mally]

Generated description

Sondra Locke as Gus Mally is the female lead in the 1977 action thriller "The Gauntlet," portraying a tough, streetwise prostitute who becomes Clint Eastwood’s character’s key witness and reluctant partner.

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

Target predicate: leadActressPlaysCharacter
Context triple: [The Gauntlet, leadActressPlaysCharacter, Sondra Locke as Gus Mally]

A. leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
B. leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
C. leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
D. leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
E. filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
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_69f3499869bc8190b6c33a81686af226`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f7a283388c81908e4a9ee3369e8d6f`	completed	May 3, 2026, 7:31 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36824de5c481909f8cc5f4cb2da8cd`	completed	June 20, 2026, 12:06 p.m.
NEDg	Description generation	`batch_6a3682dfc590819087dfb9300523ad9d`	completed	June 20, 2026, 12:09 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36848c2cd88190b28d40551392741b`	completed	June 20, 2026, 12:16 p.m.
PD	Predicate disambiguation	`batch_69f7a06d4f108190bae3ab9ae431d2c7`	completed	May 3, 2026, 7:22 p.m.
PDg	Predicate description generation	`batch_69f7a224365081908ff6958e3b30bd05`	completed	May 3, 2026, 7:29 p.m.

Created at: May 1, 2026, 1:48 a.m.