Triple
T8864704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Spade |
E210987
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Richard Hayden |
E622489
|
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: Richard Hayden | Statement: [David Spade, portrayedCharacter, Richard Hayden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Hayden Context triple: [David Spade, portrayedCharacter, Richard Hayden]
-
A.
Richard Hayden
chosen
Richard Hayden is the uptight, sarcastic sales executive and straight-man sidekick to the bumbling title character in the comedy film "Tommy Boy."
-
B.
Harry Hayden
Harry Hayden was an American character actor known for his numerous supporting roles in films and early television during the mid-20th century.
-
C.
Greg Hayden
Greg Hayden is a film editor best known for his work on major comedy features, including the Austin Powers series.
-
D.
John Hailey
John Hailey was a 19th-century Idaho pioneer, businessman, and politician whose contributions to the region’s early development led to the city of Hailey, Idaho being named in his honor.
-
E.
Jay Hayden
Jay Hayden is an American actor best known for his role as firefighter Travis Montgomery on the television drama series "Station 19."
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610569d08190b108107dfe397f18 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0d311148190823cc047e2908bc0 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.