Triple
T20364464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ashtray Effect |
E496869
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | David J. Hand |
—
|
NE NERFINISHED |
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: David J. Hand | Statement: [The Ashtray Effect, hasAuthor, David J. Hand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David J. Hand Context triple: [The Ashtray Effect, hasAuthor, David J. Hand]
-
A.
David J. Hand
chosen
David J. Hand is a British statistician and author known for his work on probability, risk, and the interpretation of statistical evidence for general audiences.
-
B.
Peter R. Eisenhardt
Peter R. Eisenhardt is an American astronomer known for his leadership in infrared sky surveys and his role in advancing space-based infrared astronomy.
-
C.
James P. Snee
James P. Snee is an American business executive best known as the chairman, president, and chief executive officer of Hormel Foods Corporation.
-
D.
Jeffrey P. Buzen
Jeffrey P. Buzen is a computer scientist known for his foundational contributions to performance evaluation and queueing theory in computer systems.
-
E.
Gregg Fienberg
Gregg Fienberg is an American television producer and director best known for his work on acclaimed series such as True Blood, Twin Peaks, and Big Little Lies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67870f4448190ab63cbe03542de21 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.