Triple
T15465293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mythic Quest |
E372016
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Hornsby |
E1036395
|
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 Hornsby | Statement: [Mythic Quest, executiveProducer, David Hornsby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Hornsby Context triple: [Mythic Quest, executiveProducer, David Hornsby]
-
A.
David Hornsby
chosen
David Hornsby is an American actor, writer, and producer best known for his role as Rickety Cricket on the TV series "It's Always Sunny in Philadelphia."
-
B.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
C.
Jeremy Hornsby
Jeremy Hornsby is a writer best known as the co-author of Beatles producer George Martin’s memoir "All You Need Is Ears."
-
D.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
-
E.
Luke Bosso
Luke Bosso is an American sports administrator who has served as the athletic director for the IUPUI Jaguars athletic program.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d01a23c819095cf75b7d5a801a9 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.