Triple

T32568020
Position Surface form Disambiguated ID Type / Status
Subject Kathleen Doyle Bates E832424 entity
Predicate hasRole P161 FINISHED
Object Molly Brown in Titanic
Molly Brown in Titanic is the film portrayal of the real-life American socialite and Titanic survivor Margaret "Molly" Brown, depicted as a wealthy, outspoken, and compassionate passenger who aids others during the disaster.
E2013205 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: Molly Brown in Titanic | Statement: [Kathleen Doyle Bates, hasRole, Molly Brown in Titanic]
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: Molly Brown in Titanic
Triple: [Kathleen Doyle Bates, hasRole, Molly Brown in Titanic]
Generated description
Molly Brown in Titanic is the film portrayal of the real-life American socialite and Titanic survivor Margaret "Molly" Brown, depicted as a wealthy, outspoken, and compassionate passenger who aids others during the disaster.

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_69f34927bb308190ad94da1b11cad13c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c639039481908ea626bba7580f9e completed May 3, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b9933e88190838b9455abe1235c completed June 18, 2026, 11:13 p.m.
NEDg Description generation batch_6a347c427de8819083c0a683e40f660b completed June 18, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a347e0a2ed48190b8648eb4406bef26 completed June 18, 2026, 11:23 p.m.
Created at: May 1, 2026, 1:03 a.m.