Triple

T31234456
Position Surface form Disambiguated ID Type / Status
Subject Lie Down in Darkness E796376 entity
Predicate mainCharacter P1183 FINISHED
Object Milton Loftis
Milton Loftis is the deeply flawed, alcoholic Southern patriarch at the center of William Styron’s novel "Lie Down in Darkness," whose personal failures and tormented relationships drive the book’s tragic narrative.
E1955933 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: Milton Loftis | Statement: [Lie Down in Darkness, mainCharacter, Milton Loftis]
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: Milton Loftis
Triple: [Lie Down in Darkness, mainCharacter, Milton Loftis]
Generated description
Milton Loftis is the deeply flawed, alcoholic Southern patriarch at the center of William Styron’s novel "Lie Down in Darkness," whose personal failures and tormented relationships drive the book’s tragic narrative.

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_69f224db69ac81909a370adad6a7ac7c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d212650819088514cd8d7f141d9 completed May 3, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e1e89408190a1de9b52d0b179e3 completed June 11, 2026, 2:31 a.m.
NEDg Description generation batch_6a2a4ae1d6888190ad608b7b4b33236d completed June 11, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a2a4e84ecc48190b038887e0ea10883 completed June 11, 2026, 5:58 a.m.
Created at: April 29, 2026, 9:10 p.m.