Triple
T5910947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | harpe sword |
E131455
|
entity |
| Predicate | grantedByDeity |
P20739
|
FINISHED |
| Object | Athena |
E13958
|
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: Athena | Statement: [harpe sword, grantedByDeity, Athena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athena Context triple: [harpe sword, grantedByDeity, Athena]
-
A.
Athena
chosen
Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
-
B.
Athena
Athena is the enigmatic, spiritually gifted protagonist of Paulo Coelho’s novel "The Witch of Portobello," whose search for identity and the divine challenges social and religious conventions.
-
C.
Artémis
Artémis is the French holding company of the Pinault family, overseeing a diverse portfolio of luxury, wine, art, and investment assets.
-
D.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
E.
Artemis
Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c049fdb3e08190a72337ab4f48bc8e |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1134e27388190ad90faed28d2d360 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:59 p.m.