Triple
T21613953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krios |
E533383
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Pallas |
—
|
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: Pallas | Statement: [Krios, child, Pallas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallas Context triple: [Krios, child, Pallas]
-
A.
Pallas
Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
-
B.
Pallas
chosen
Pallas is a figure from Greek mythology, often identified as a Titan associated with war and sometimes linked to Athena’s epithet “Pallas.”
-
C.
Pallas
Pallas is a young Arcadian prince and ally of Aeneas in Virgil’s Aeneid, whose tragic death in the war in Latium becomes a pivotal motive for Aeneas’s final act of vengeance.
-
D.
Pallas
Pallas is a libertarian science fiction novel by L. Neil Smith set in a future asteroid colony that explores themes of individualism and freedom.
-
E.
Pallas
Pallas is a mountainous region in Finnish Lapland known for its fells, scenic wilderness, and outdoor recreation opportunities.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba9aca48190b5180eefd61a9fdc |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.