Triple
T156790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesiod's Theogony |
E3197
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gaia |
E14477
|
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: Gaia | Statement: [Hesiod's Theogony, featuresCharacter, Gaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaia Context triple: [Hesiod's Theogony, featuresCharacter, Gaia]
-
A.
Gaia
chosen
Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
-
B.
Rhea
Rhea is a Titaness in Greek mythology, best known as the mother of several Olympian gods, including Zeus, whom she saved from being devoured by his father Cronus.
-
C.
Alcyone
Alcyone is one of the Pleiades in Greek mythology, a daughter of the Titan Atlas and often associated with the star cluster of the same name.
-
D.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
E.
Vulcan
Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25830136881909f5ecb2cb22097b2 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a311574d248190b4769473012a3106 |
completed | Feb. 28, 2026, 4:01 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.