Triple

T36833266
Position Surface form Disambiguated ID Type / Status
Subject David Baddiel E910202 entity
Predicate notableWork P4 FINISHED
Object The Death of Eli Gold
The Death of Eli Gold is a darkly comic novel by British writer David Baddiel about an aging, legendary American novelist confronting mortality and family turmoil.
E2201483 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: The Death of Eli Gold | Statement: [David Baddiel, notableWork, The Death of Eli Gold]
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 Death of Eli Gold
Triple: [David Baddiel, notableWork, The Death of Eli Gold]
Generated description
The Death of Eli Gold is a darkly comic novel by British writer David Baddiel about an aging, legendary American novelist confronting mortality and family turmoil.

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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cf7c7eb481908f66f6e614ae4d35 completed May 3, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde6d98388190830601e61dc32ab5 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de3191fec81908ed3adbf1c565ec7 completed June 26, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_6a3df16910d48190953428f914e83a85 completed June 26, 2026, 3:26 a.m.
Created at: May 3, 2026, 4:13 p.m.