Triple

T38349873
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Stone Maretto E1041648 entity
Predicate basedOn P98 FINISHED
Object Pamela Smart
Pamela Smart is an American woman whose highly publicized 1990 murder conspiracy case, involving the killing of her husband by her teenage lover and his friends, inspired the film character Suzanne Stone Maretto in "To Die For."
E2265652 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: Pamela Smart | Statement: [Suzanne Stone Maretto, basedOn, Pamela Smart]
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: Pamela Smart
Triple: [Suzanne Stone Maretto, basedOn, Pamela Smart]
Generated description
Pamela Smart is an American woman whose highly publicized 1990 murder conspiracy case, involving the killing of her husband by her teenage lover and his friends, inspired the film character Suzanne Stone Maretto in "To Die For."

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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc6f504008190bbbf426e9c855ad3 completed May 7, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7f92c3881908b32c21892c2611c completed June 28, 2026, 11:02 p.m.
NEDg Description generation batch_6a41a9fcb48881908e9ca5a3b4d4320c completed June 28, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a41aa693d88819083b55ae8c5c238b2 completed June 28, 2026, 11:12 p.m.
Created at: May 3, 2026, 4:30 p.m.