Triple

T25316550
Position Surface form Disambiguated ID Type / Status
Subject The Affairs of Susan E634759 entity
Predicate leadActorPlays P6108 FINISHED
Object Joan Fontaine as Susan Darell
Joan Fontaine as Susan Darell is the central female protagonist in the 1945 romantic comedy film "The Affairs of Susan," around whose romantic entanglements and personal dilemmas the story revolves.
E1676521 NE FINISHED

How this triple was built (2 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: Joan Fontaine as Susan Darell | Statement: [The Affairs of Susan, leadActorPlays, Joan Fontaine as Susan Darell]
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: Joan Fontaine as Susan Darell
Triple: [The Affairs of Susan, leadActorPlays, Joan Fontaine as Susan Darell]
Generated description
Joan Fontaine as Susan Darell is the central female protagonist in the 1945 romantic comedy film "The Affairs of Susan," around whose romantic entanglements and personal dilemmas the story revolves.

Provenance (5 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_69e75a9847c08190bb02990d06d5ffb7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f49689e50881909c13a48de497e74f completed May 1, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075e553788190bf7a3179e2ccf40a completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a10775af30c8190b81d59d29bf57a2e completed May 22, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a1078eaf8888190b3453537d13d6cc5 completed May 22, 2026, 3:40 p.m.
Created at: April 21, 2026, 1:28 p.m.