Triple

T31879359
Position Surface form Disambiguated ID Type / Status
Subject Mark Monroe E813835 entity
Predicate knownFor P22 FINISHED
Object Foo Fighters: Back and Forth
Foo Fighters: Back and Forth is a documentary film chronicling the history, evolution, and behind-the-scenes story of the American rock band Foo Fighters.
E1984638 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: Foo Fighters: Back and Forth | Statement: [Mark Monroe, knownFor, Foo Fighters: Back and Forth]
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: Foo Fighters: Back and Forth
Triple: [Mark Monroe, knownFor, Foo Fighters: Back and Forth]
Generated description
Foo Fighters: Back and Forth is a documentary film chronicling the history, evolution, and behind-the-scenes story of the American rock band Foo Fighters.

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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b0d21dd08190a9883ff71c94c71c completed May 3, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a28aad0819089b6eb4b16225674 completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e93493da88190b2b7be1e49f14e10 completed June 14, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_6a2e93c4b4108190821ad84c3b38f1e2 completed June 14, 2026, 11:43 a.m.
Created at: April 30, 2026, 11:56 p.m.