Triple
T27551228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segerstrom Center for the Arts |
E695504
|
entity |
| Predicate | hasResidentCompany |
P1287
|
FINISHED |
| Object |
Pacific Symphony
Pacific Symphony is a major American orchestra based in Orange County, California, known for its innovative programming and performances at the Segerstrom Center for the Arts.
|
E1777668
|
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: Pacific Symphony | Statement: [Segerstrom Center for the Arts, hasResidentCompany, Pacific Symphony]
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: Pacific Symphony Triple: [Segerstrom Center for the Arts, hasResidentCompany, Pacific Symphony]
Generated description
Pacific Symphony is a major American orchestra based in Orange County, California, known for its innovative programming and performances at the Segerstrom Center for the Arts.
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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f8b88c88190a327896be2af2f06 |
completed | May 2, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12c5c6a48c8190806aa0c850834de9 |
completed | May 24, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_6a12c6f592908190a6925a9c563dfdb0 |
completed | May 24, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12c7a235f08190909cbd31986349d4 |
completed | May 24, 2026, 9:40 a.m. |
Created at: April 27, 2026, 1:35 p.m.