Triple
T6459873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biz Stone |
E142089
|
entity |
| Predicate | workedAt |
P7
|
FINISHED |
| Object | Odeo |
E95215
|
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: Odeo | Statement: [Biz Stone, workedAt, Odeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odeo Context triple: [Biz Stone, workedAt, Odeo]
-
A.
Odeo
chosen
Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
-
B.
Hear It
Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
-
C.
Ospel
Ospel is a village in the Dutch province of Limburg, known as a gateway to the nearby De Groote Peel National Park and its peatland landscapes.
-
D.
The Sound
The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
-
E.
Setif
Sétif is a major city in northeastern Algeria known as an important commercial and agricultural center with a rich historical heritage.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f50ea88190af29c8c249ff2b69 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be1fad88190af07b7053811e3f2 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:48 p.m.