Triple

T38191760
Position Surface form Disambiguated ID Type / Status
Subject Travis Book E1005485 entity
Predicate spouse P13 FINISHED
Object Sarah Siskind
Sarah Siskind is an American singer-songwriter known for her emotionally rich, genre-blending folk and Americana compositions and for her songs being recorded by prominent artists such as Alison Krauss and Bon Iver.
E2275783 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: Sarah Siskind | Statement: [Travis Book, spouse, Sarah Siskind]
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: Sarah Siskind
Triple: [Travis Book, spouse, Sarah Siskind]
Generated description
Sarah Siskind is an American singer-songwriter known for her emotionally rich, genre-blending folk and Americana compositions and for her songs being recorded by prominent artists such as Alison Krauss and Bon Iver.

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_69f76dbd22f48190940318cea061e8bb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb117bed4819096b1b56e00f05a4b completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea75108c8190b8db9a40e5138ef2 completed June 29, 2026, 3:45 a.m.
NEDg Description generation batch_6a41eb9a1dd881908fe131cb178e4186 completed June 29, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_6a41ec08a2c48190b70d223619c38a34 completed June 29, 2026, 3:52 a.m.
Created at: May 3, 2026, 4:29 p.m.