Triple
T20785187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethan Johns |
E511609
|
entity |
| Predicate | uncle |
P8496
|
FINISHED |
| Object | Andy Johns |
—
|
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: Andy Johns | Statement: [Ethan Johns, uncle, Andy Johns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Johns Context triple: [Ethan Johns, uncle, Andy Johns]
-
A.
Andy Johns
chosen
Andy Johns was a renowned British recording engineer and producer known for his work with iconic rock bands such as Led Zeppelin, The Rolling Stones, and Free.
-
B.
Andy Jones
Andy Jones is the central chef protagonist in the British drama film "Boiling Point," portrayed as a highly pressured and flawed head cook navigating a chaotic restaurant service.
-
C.
Andy Jones
Andy Jones is an entrepreneur and technologist known as a founder of the AI safety and research company Anthropic.
-
D.
Andy Jones
Andy Jones is a musician best known for his past role in the British electronic/alternative group Lo-Fidelity Allstars.
-
E.
Simon Johns
Simon Johns is a British musician best known as a former bassist for the avant-pop band Stereolab.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28b4ce88190a45f1c99b58d18eb |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.