Triple

T34376285
Position Surface form Disambiguated ID Type / Status
Subject Tsion Ben-Judah E882294 entity
Predicate notableWork P4 FINISHED
Object Left Behind: The Mark
Left Behind: The Mark is a Christian apocalyptic novel in the Left Behind series that follows believers resisting the Antichrist’s global regime after the institution of a mandatory mark of loyalty.
E2105686 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: Left Behind: The Mark | Statement: [Tsion Ben-Judah, notableWork, Left Behind: The Mark]
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: Left Behind: The Mark
Triple: [Tsion Ben-Judah, notableWork, Left Behind: The Mark]
Generated description
Left Behind: The Mark is a Christian apocalyptic novel in the Left Behind series that follows believers resisting the Antichrist’s global regime after the institution of a mandatory mark of loyalty.

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_69f349bf5d7481908dd5da4cbdf74047 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71854a05881909ee9ade5cfafb71f completed May 3, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748d553c8819099219183b3420ed3 completed June 21, 2026, 2:13 a.m.
NEDg Description generation batch_6a3749e579008190b045e083d4b1c7d9 completed June 21, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_6a374a7a28d881908ea4fc55b7f0441b completed June 21, 2026, 2:20 a.m.
Created at: May 1, 2026, 1:59 a.m.