Triple
T18469330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osborn |
E451250
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Andrew Osborn |
—
|
NE NERFINISHED |
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: Andrew Osborn | Statement: [Osborn, hasNotableBearer, Andrew Osborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Osborn Context triple: [Osborn, hasNotableBearer, Andrew Osborn]
-
A.
Andrew Osborn
chosen
Andrew Osborn is an actor known for his role in the British science-fiction film "Spaceways."
-
B.
Will Osborne
Will Osborne is a notable individual recognized for achievements significant enough to distinguish him among others sharing the Osborne surname.
-
C.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
-
D.
Julian Osborn
Julian Osborn is a key character in Nevil Shute’s post-apocalyptic novel "On the Beach," portrayed as a thoughtful and stoic Australian scientist confronting the inevitability of global nuclear fallout.
-
E.
Daniel Osbourne
Daniel Osbourne is a fictional character from the television series "Buffy the Vampire Slayer," known as the quiet, guitar-playing werewolf and love interest of Willow Rosenberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5305e349c8190925166bc3dddb320 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.