Triple
T16584341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van der Linde gang |
E402913
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Hosea Matthews |
E1220994
|
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: Hosea Matthews | Statement: [Van der Linde gang, coFoundedBy, Hosea Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hosea Matthews Context triple: [Van der Linde gang, coFoundedBy, Hosea Matthews]
-
A.
Hosea Matthews
chosen
Hosea Matthews is a seasoned conman and the wise, strategic co-founder of the Van der Linde gang in the video game Red Dead Redemption 2.
-
B.
Josey Hollis Dorsey
Josey Hollis Dorsey is the son of late "Glee" actress Naya Rivera and actor Ryan Dorsey.
-
C.
Dakin Matthews
Dakin Matthews is an American actor, director, and playwright known for his extensive work on stage and screen, including numerous Broadway productions and television roles.
-
D.
Chauncey Winbush
Chauncey Winbush is a collegiate sports administrator who serves as the athletic director for the Rams athletic program.
-
E.
Russel Hines
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999f80c8190852fd4137bc45a80 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007597905881909df7dc49961b6a02 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.