Triple
T10323324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder, She Wrote |
E242693
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | William Link |
E511299
|
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: William Link | Statement: [Murder, She Wrote, creator, William Link]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Link Context triple: [Murder, She Wrote, creator, William Link]
-
A.
William Link
chosen
William Link was an American television writer and producer best known for co-creating the iconic detective series Columbo.
-
B.
Gale Gordon
Gale Gordon was an American character actor best known for his authoritative comedic roles in classic radio and television sitcoms, particularly in collaborations with Lucille Ball.
-
C.
Norman Corwin
Norman Corwin was an influential American writer, producer, and director best known for his pioneering, critically acclaimed radio dramas during the Golden Age of Radio.
-
D.
Hugh Dryden
Hugh Dryden was an influential American aeronautical engineer and NASA deputy administrator who made major contributions to fluid dynamics and high-speed flight research.
-
E.
Charles Beaumont
Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.