Triple

T35586122
Position Surface form Disambiguated ID Type / Status
Subject Lucinda Franks E1028361 entity
Predicate notableWork P4 FINISHED
Object My Father’s Secret War
"My Father’s Secret War" is a memoir by Pulitzer Prize–winning journalist Lucinda Franks that uncovers her father’s hidden experiences and psychological scars from World War II.
 E2147807 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: My Father’s Secret War | Statement: [Lucinda Franks, notableWork, My Father’s Secret War]
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: My Father’s Secret War
Triple: [Lucinda Franks, notableWork, My Father’s Secret War]
Generated description
"My Father’s Secret War" is a memoir by Pulitzer Prize–winning journalist Lucinda Franks that uncovers her father’s hidden experiences and psychological scars from World War II.

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_69f76e0495a081909beced418558c0b4 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79e8721a88190b93526c13f5a812a completed May 3, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bd6d85c819095ffa228a811efa9 completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385e45a82081909d73cdbbf374be7a completed June 21, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_6a385ec1c1448190922707427b3fc98d completed June 21, 2026, 9:59 p.m.
Created at: May 3, 2026, 4:04 p.m.