Triple
T9802112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Warden |
E237862
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Stephen A. Miller |
E821745
|
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: Stephen A. Miller | Statement: [Harry Warden, createdBy, Stephen A. Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen A. Miller Context triple: [Harry Warden, createdBy, Stephen A. Miller]
-
A.
Stephen A. Miller
chosen
Stephen A. Miller is a writer best known for his work on the story for the horror film "My Bloody Valentine."
-
B.
Jared Bernstein
Jared Bernstein is an American economist and policy advisor who has served in prominent roles shaping U.S. economic policy, including as a key advisor in the Obama and Biden administrations.
-
C.
James Mazzeo
James Mazzeo is an American artist best known for creating the distinctive cover art for Neil Young’s 1975 album "Zuma."
-
D.
Roy Andrew Miller
Roy Andrew Miller was an American linguist renowned for his influential and controversial work on the proposed Altaic language family and for his broader contributions to East Asian linguistics.
-
E.
Timothy Fall
Timothy Fall is an actor known for his role in the British television sitcom "Bob."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc53c3dc819084a4d8b72164a172 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:29 p.m.