Triple
T13505344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pallas |
E321000
|
entity |
| Predicate | hasHonorificEponym |
P12247
|
FINISHED |
| Object | 2 Pallas (asteroid) |
E149424
|
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: 2 Pallas (asteroid) | Statement: [Pallas, hasHonorificEponym, 2 Pallas (asteroid)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2 Pallas (asteroid) Context triple: [Pallas, hasHonorificEponym, 2 Pallas (asteroid)]
-
A.
Pallas
Pallas is an 18th-century German zoologist and naturalist known for his pioneering work in classifying and describing numerous animal species.
-
B.
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.
-
C.
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.”
-
D.
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.
-
E.
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.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9009688190b8f18bb3525c6afd |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.