Triple
T19678249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepherds on Mount Ida |
E472511
|
entity |
| Predicate | raised |
P17573
|
FINISHED |
| Object | Paris (mythology) |
—
|
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: Paris (mythology) | Statement: [Shepherds on Mount Ida, raised, Paris (mythology)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris (mythology) Context triple: [Shepherds on Mount Ida, raised, Paris (mythology)]
-
A.
Paris (mythology)
chosen
Paris (mythology) is a prince of Troy in Greek mythology best known for judging the beauty contest between goddesses that led to the Trojan War and for abducting Helen.
-
B.
Parisina
Parisina is an opera by Italian composer Pietro Mascagni, based on a tragic historical-romantic tale.
-
C.
Olympe
Olympe is a feminine given name of French origin historically borne by notable figures such as Olympe de Gouges and Olympe Mancini.
-
D.
Parium
Parium was an ancient Greek city and important port on the Hellespont in the historical region of Mysia in northwestern Asia Minor.
-
E.
Paris Qualles
Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bda8348190b0c7816c50aca923 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.