Triple

T36301704

Position	Surface form	Disambiguated ID	Type / Status
Subject	Heart of Stone	`E893833`	entity
Predicate	characterPlayedByGalGadot	`P200830`	FINISHED
Object	Rachel Stone Rachel Stone is the highly skilled, enigmatic intelligence operative portrayed by Gal Gadot in the action thriller film "Heart of Stone."	`E2178679`	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: Rachel Stone | Statement: [Heart of Stone, characterPlayedByGalGadot, Rachel Stone]

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: Rachel Stone
Triple: [Heart of Stone, characterPlayedByGalGadot, Rachel Stone]

Generated description

Rachel Stone is the highly skilled, enigmatic intelligence operative portrayed by Gal Gadot in the action thriller film "Heart of Stone."

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

Target predicate: characterPlayedByGalGadot
Context triple: [Heart of Stone, characterPlayedByGalGadot, Rachel Stone]

A. characterPlayedByCariceVanHouten
Indicates that the subject is a character portrayed by the actress Carice van Houten.
B. characterPlayedBy Emmanuelle Chriqui
Indicates that the role or character in question is portrayed or acted by Emmanuelle Chriqui.
C. characterPlayedBy Larisa Oleynik
Indicates that a specific fictional character is portrayed or acted by Larisa Oleynik.
D. roleOfGueneverePlayedBy
Indicates that a specified person or performer portrays the character Guenevere in a production or performance.
E. characterPlayedByEmilyBlunt
Indicates that the subject is a character portrayed by the actress Emily Blunt.
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_69f76e4c1b248190b10667d0213537fe`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69ffb1218cb08190a814c7f0833501a7`	completed	May 9, 2026, 10:11 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a397d81f4988190a530f4a1c917e2d4`	completed	June 22, 2026, 6:22 p.m.
NEDg	Description generation	`batch_6a398222735c8190a144c0fec75f8566`	completed	June 22, 2026, 6:42 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3984684a90819099e3518d546a17fb`	completed	June 22, 2026, 6:52 p.m.
PD	Predicate disambiguation	`batch_69ffb083d6988190b2757e0cfd629b75`	completed	May 9, 2026, 10:09 p.m.
PDg	Predicate description generation	`batch_69ffb120b9988190b6361c69265033c0`	completed	May 9, 2026, 10:11 p.m.

Created at: May 3, 2026, 4:09 p.m.