Triple

T29892705
Position Surface form Disambiguated ID Type / Status
Subject The Great Santini E759194 entity
Predicate hasCharacter P2308 FINISHED
Object Mary Anne Meechum
Mary Anne Meechum is a central character in Pat Conroy’s novel and its film adaptation "The Great Santini," portrayed as the sensitive, introspective daughter struggling under the shadow of her domineering Marine pilot father.
E1936107 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: Mary Anne Meechum | Statement: [The Great Santini, hasCharacter, Mary Anne Meechum]
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: Mary Anne Meechum
Triple: [The Great Santini, hasCharacter, Mary Anne Meechum]
Generated description
Mary Anne Meechum is a central character in Pat Conroy’s novel and its film adaptation "The Great Santini," portrayed as the sensitive, introspective daughter struggling under the shadow of her domineering Marine pilot father.

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_69f2245f1cf88190978c70d1a1d2cb73 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67728a5208190a43626fb4f5669c7 completed May 2, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7ac479c81909c7e418c6e63e518 completed June 10, 2026, 2:10 a.m.
NEDg Description generation batch_6a28cc6167d481909f39e735e9ac5b77 completed June 10, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a28cdb1ee7481909395b195f16c6163 completed June 10, 2026, 2:36 a.m.
Created at: April 29, 2026, 6:03 p.m.