Triple
T18693909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personifications in Greek mythology |
E457065
|
entity |
| Predicate | include |
P1393
|
FINISHED |
| Object | Geras |
—
|
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: Geras | Statement: [Personifications in Greek mythology, include, Geras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geras Context triple: [Personifications in Greek mythology, include, Geras]
-
A.
Geras
chosen
Geras is the Greek personification of old age, often depicted as a withered, decrepit figure and associated with the inevitable decline that comes with time.
-
B.
Gaios
Gaios is the main port town and administrative center of the Greek island of Paxos in the Ionian Sea.
-
C.
Erasinos
Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
-
D.
Ganthet
Ganthet is a wise and compassionate Guardian of the Universe from DC Comics, best known for mentoring Green Lanterns and challenging the rigid traditions of his fellow Guardians.
-
E.
Dorus
Dorus is a figure in Greek mythology regarded as the eponymous ancestor of the Dorian people.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e581f48190997d279296a31e7f |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.