Triple

T36420247
Position Surface form Disambiguated ID Type / Status
Subject YOLA E897130 entity
Predicate supportedBy P67 FINISHED
Object Los Angeles Philharmonic musicians
Los Angeles Philharmonic musicians are the professional orchestral players of the LA Phil who perform a wide range of symphonic and chamber repertoire and actively support educational and community initiatives.
E2182920 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: Los Angeles Philharmonic musicians | Statement: [YOLA, supportedBy, Los Angeles Philharmonic musicians]
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: Los Angeles Philharmonic musicians
Triple: [YOLA, supportedBy, Los Angeles Philharmonic musicians]
Generated description
Los Angeles Philharmonic musicians are the professional orchestral players of the LA Phil who perform a wide range of symphonic and chamber repertoire and actively support educational and community initiatives.

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_69f76e559b10819099d6655a6e14587c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd4870c08190a85f1ebdca2519d3 completed May 3, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c40c4c9c8190923dab70e38900b1 completed June 22, 2026, 11:23 p.m.
NEDg Description generation batch_6a39c49dc36c8190b6791483ee8a7e31 completed June 22, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39c52475348190a171242f4714705d completed June 22, 2026, 11:28 p.m.
Created at: May 3, 2026, 4:10 p.m.