Triple

T28515324
Position Surface form Disambiguated ID Type / Status
Subject gens Marcia E721597 entity
Predicate notableMember P10 FINISHED
Object Quintus Marcius Tremulus
Quintus Marcius Tremulus was a Roman consul and general of the early Republic, known for his military successes against the Hernici and other Italic peoples.
E1832522 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: Quintus Marcius Tremulus | Statement: [gens Marcia, notableMember, Quintus Marcius Tremulus]
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: Quintus Marcius Tremulus
Triple: [gens Marcia, notableMember, Quintus Marcius Tremulus]
Generated description
Quintus Marcius Tremulus was a Roman consul and general of the early Republic, known for his military successes against the Hernici and other Italic peoples.

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_69f01a5c072081908c7b04bcf6478da9 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f78a2f48190b134be8272852b78 completed May 2, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a23303548190bf6f3dd529a9fe16 completed June 6, 2026, 10:41 p.m.
NEDg Description generation batch_6a24a89cefd48190a9ebe4f167451f92 completed June 6, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_6a24a8f04a888190bfda06534c478348 completed June 6, 2026, 11:10 p.m.
Created at: April 28, 2026, 3:16 a.m.