Triple

T30974690
Position Surface form Disambiguated ID Type / Status
Subject Mary Kathleen Turner E789198 entity
Predicate notableRole P22 FINISHED
Object Joan Wilder in Romancing the Stone
Joan Wilder in "Romancing the Stone" is a timid romance novelist who is thrust into a perilous adventure in Colombia, where she transforms into a resourceful heroine while searching for a priceless treasure.
E1941594 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 Wilder in Romancing the Stone | Statement: [Mary Kathleen Turner, notableRole, Joan Wilder in Romancing the 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: Joan Wilder in Romancing the Stone
Triple: [Mary Kathleen Turner, notableRole, Joan Wilder in Romancing the Stone]
Generated description
Joan Wilder in "Romancing the Stone" is a timid romance novelist who is thrust into a perilous adventure in Colombia, where she transforms into a resourceful heroine while searching for a priceless treasure.

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_69f224c4831c8190be53924ec25a150a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f693b80ac8819087af61557dd52c70 completed May 3, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fbbda88c81909220eaaeb74f2b04 completed June 10, 2026, 5:53 a.m.
NEDg Description generation batch_6a290119c7c08190a7068c9aa776ff61 completed June 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_6a2901f28f9c81909d9f04841e5f7fa5 completed June 10, 2026, 6:19 a.m.
Created at: April 29, 2026, 8:55 p.m.