Triple
T9702488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcimede |
E234810
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Hippasus |
E657693
|
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: Hippasus | Statement: [Alcimede, hasChild, Hippasus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hippasus Context triple: [Alcimede, hasChild, Hippasus]
-
A.
Hippasus
chosen
Hippasus is a figure from Greek mythology known as one of the heroes who took part in the legendary Calydonian Boar Hunt.
-
B.
Pythagoras of Rhegion
Pythagoras of Rhegion was an ancient Greek sculptor renowned for his realistic bronze statues and is traditionally credited with creating the famous Charioteer of Delphi.
-
C.
Theodorus
Theodorus is a given name most notably borne by Theodorus van Gogh, the father of the famous painter Vincent van Gogh.
-
D.
Theodorus
Theodorus is a statesman known for his political leadership and public service.
-
E.
Pythagoras
Pythagoras was an ancient Greek philosopher and mathematician best known for founding the Pythagorean school and for the Pythagorean theorem in geometry.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d7283188190bd50e18f643ad0d3 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19132687c8190baf3a60af1b789a8 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.