Triple
T29983192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All of Us Are Dying |
E761650
|
entity |
| Predicate | notableFor |
P22
|
FINISHED |
| Object | being the basis for The Twilight Zone episode The Four of Us Are Dying |
—
|
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: being the basis for The Twilight Zone episode The Four of Us Are Dying | Statement: [All of Us Are Dying, notableFor, being the basis for The Twilight Zone episode The Four of Us Are Dying]
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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678db0a488190a4b8f79cb1949749 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 6:35 p.m.