Triple

T25225099
Position Surface form Disambiguated ID Type / Status
Subject David Mack E632069 entity
Predicate wrote P2831 FINISHED
Object Star Trek: Section 31 – Disavowed
Star Trek: Section 31 – Disavowed is a Star Trek tie-in novel that follows the covert operations of the Federation’s shadowy intelligence agency Section 31 in a high-stakes, espionage-driven storyline.
 E1676929 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: Star Trek: Section 31 – Disavowed | Statement: [David Mack, wrote, Star Trek: Section 31 – Disavowed]
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: Star Trek: Section 31 – Disavowed
Triple: [David Mack, wrote, Star Trek: Section 31 – Disavowed]
Generated description
Star Trek: Section 31 – Disavowed is a Star Trek tie-in novel that follows the covert operations of the Federation’s shadowy intelligence agency Section 31 in a high-stakes, espionage-driven storyline.

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_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cc342948190acae4979648659bd completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075cb592081908ac83218c1c087ae completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076ee49ec8190841090653ecd4079 completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10787f645481908b2db12a9a14697c completed May 22, 2026, 3:38 p.m.
Created at: April 21, 2026, 1:03 p.m.