Triple
T6672553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawa |
E151765
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Per Bothner |
E611595
|
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: Per Bothner | Statement: [Kawa, developer, Per Bothner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Per Bothner Context triple: [Kawa, developer, Per Bothner]
-
A.
Per Bothner
chosen
Per Bothner is a software developer and computer scientist best known for creating the Kawa Scheme implementation for the Java platform.
-
B.
Eric Lamonsoff
Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
-
C.
Kurt Johnstad
Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
-
D.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
E.
Scott Sundquist
Scott Sundquist is an American drummer best known for being an early member of the Seattle grunge band Soundgarden before their rise to mainstream fame.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0cb78b08190923685712cbba5d8 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700772aa48190a1356b5a252f6524 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:03 p.m.