Triple
T10627601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children of Aphrodite |
E250361
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Tyche |
E58319
|
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: Tyche | Statement: [Children of Aphrodite, hasMember, Tyche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyche Context triple: [Children of Aphrodite, hasMember, Tyche]
-
A.
Tyche
chosen
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
-
B.
Fortuna
Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
-
C.
Agathe Tyche
Agathe Tyche is the ancient Greek name of the town now known as Agde in southern France, reflecting its origins as a Greek colony.
-
D.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
E.
Pammon
Pammon is a lesser-known son of King Priam of Troy mentioned in Greek mythology as one of the many Trojan princes.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df9228088190bdd57a95d8671618 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a3e0e1481909c277be4c12b46ea |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 8:55 p.m.