Triple

T35316161
Position Surface form Disambiguated ID Type / Status
Subject USS Keeling E1019910 entity
Predicate titleOfSourceNovel P180561 FINISHED
Object The Good Shepherd
The Good Shepherd is a 1955 naval war novel by C. S. Forester that follows a U.S. Navy destroyer captain escorting Allied convoys across the perilous North Atlantic during World War II.
 E2138457 NE FINISHED

How this triple was built (3 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: The Good Shepherd | Statement: [USS Keeling, titleOfSourceNovel, The Good Shepherd]
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: The Good Shepherd
Triple: [USS Keeling, titleOfSourceNovel, The Good Shepherd]
Generated description
The Good Shepherd is a 1955 naval war novel by C. S. Forester that follows a U.S. Navy destroyer captain escorting Allied convoys across the perilous North Atlantic during World War II.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleOfSourceNovel
Context triple: [USS Keeling, titleOfSourceNovel, The Good Shepherd]
  • A. sourceNovel chosen
    Indicates that one entity originates from, is adapted from, or is based on the content of a particular novel.
  • B. sourceOfTitle
    Indicates that one entity is the origin or provider of another entity’s title or designation.
  • C. novelTitleAdaptedFrom
    Indicates that the title of one work is derived from, based on, or adapted from the title of another work.
  • D. titleOfBook
    Indicates that one entity is the title assigned to a particular book.
  • E. fictionalWorkTitle
    Indicates the title assigned to a fictional work, such as a novel, film, or game.
  • F. None of above.

Provenance (6 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_69f76de9d45c81908a2ed0956b448b65 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff6fba1a5c8190a660279a6271d785 completed May 9, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cab14408190bf1daf2306378a95 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d71fa54819095ef74046c139e7a completed June 21, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_6a382e22044881909da22a48db669457 completed June 21, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69ff6f59388c8190a7d6ab7bc7705bc0 completed May 9, 2026, 5:31 p.m.
Created at: May 3, 2026, 4:03 p.m.