Triple
T16924026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Oswalt |
E410519
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Oswalt |
E749717
|
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: Oswalt | Statement: [Roy Oswalt, familyName, Oswalt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oswalt Context triple: [Roy Oswalt, familyName, Oswalt]
-
A.
Oswalt
chosen
Oswalt is the surname of American stand-up comedian, actor, and writer Patton Oswalt, known for his sharp observational humor and numerous film and television roles.
-
B.
Carlin
Carlin is a surname most famously associated with George Carlin, the influential American stand-up comedian and social critic.
-
C.
Shandling
Shandling is the surname of Garry Shandling, the influential American stand-up comedian, actor, and creator of groundbreaking television comedies.
-
D.
Donald Stufft
Donald Stufft is a prominent Python packaging developer and core contributor known for his work on tools like pip and for authoring key Python Enhancement Proposals.
-
E.
Paul Fry
Paul Fry is a literary scholar best known for his work in literary theory and criticism, including his influential teaching and writing on the subject at Yale University.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf1347c819085cf754a0c3e19ed |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd5e17481909fc4303fcc1342bf |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.