Triple
T2679776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Set |
E56545
|
entity |
| Predicate | greekName |
P3659
|
FINISHED |
| Object | Seth |
E65224
|
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: Seth | Statement: [Set, greekName, Seth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Context triple: [Set, greekName, Seth]
-
A.
Seth
chosen
Seth is a biblical figure regarded as the third son of Adam and Eve and an ancestor of Noah in the Hebrew Bible.
-
B.
Seth
Seth is a central protagonist in Cory Doctorow’s science fiction novel "Walkaway," navigating a post-scarcity world of open-source communities and radical social change.
-
C.
Seth Neddermeyer
Seth Neddermeyer was an American physicist best known for pioneering the implosion method used in the plutonium bomb during the Manhattan Project.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Seth Gecko
Seth Gecko is a ruthless yet charismatic criminal antihero best known as one of the Gecko brothers in the horror-crime franchise "From Dusk Till Dawn."
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0681f3c8190898e58f3138b16fa |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.