Triple
T38041038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reasoning with Arbitrary Objects |
E949479
|
entity |
| Predicate | addresses |
P265
|
FINISHED |
| Object | use of arbitrary objects in philosophical argument |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: use of arbitrary objects in philosophical argument | Statement: [Reasoning with Arbitrary Objects, addresses, use of arbitrary objects in philosophical argument]
Provenance (2 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc9d449548190b60d7238bf83cf11 |
completed | May 6, 2026, 11:08 p.m. |
Created at: May 3, 2026, 4:20 p.m.