Triple
T13838838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Monday |
E332597
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | David Caspe |
E979357
|
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: David Caspe | Statement: [Black Monday, creator, David Caspe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Caspe Context triple: [Black Monday, creator, David Caspe]
-
A.
David Caspe
chosen
David Caspe is an American television writer and producer best known for creating the cult-favorite sitcom "Happy Endings" and co-creating several other comedy series.
-
B.
Dan Riccio
Dan Riccio is a senior Apple executive and longtime hardware engineering leader known for overseeing the development of many of the company’s major products.
-
C.
Josh Gracin
Josh Gracin is an American country music singer and former U.S. Marine who gained national recognition as a standout contestant on the second season of American Idol.
-
D.
Joy Philbin
Joy Philbin is an American television personality and occasional co-host best known for her appearances alongside her husband, longtime TV host Regis Philbin.
-
E.
Joe Mantello
Joe Mantello is an acclaimed American actor and director, particularly renowned for his work on Broadway in both plays and musicals.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.