Triple
T934130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heracles |
E20157
|
entity |
| Predicate | greekName |
P3659
|
FINISHED |
| Object | Ἡρακλῆς |
E20157
|
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: Ἡρακλῆς | Statement: [Heracles, greekName, Ἡρακλῆς]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ἡρακλῆς Context triple: [Heracles, greekName, Ἡρακλῆς]
-
A.
Heracles
chosen
Heracles is a legendary hero of Greek mythology renowned for his superhuman strength and his completion of the Twelve Labors.
-
B.
Hercules
Hercules is a historic steam-powered tugboat preserved as a museum ship in San Francisco, showcasing early 20th-century maritime industry and engineering.
-
C.
Hercules
Hercules is the popular nickname for the Lockheed C-130, a versatile four‑engine military transport aircraft renowned for its durability and ability to operate in challenging conditions.
-
D.
Perseus
Perseus is a legendary Greek hero famed for slaying the Gorgon Medusa and rescuing Andromeda.
-
E.
Eurystheus
Eurystheus is the mythological king of Tiryns and Mycenae in Greek mythology who imposed the Twelve Labors upon Heracles.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3627ccc8190a836515b2ea85ec5 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826dec198819084889ea69d53cd6c |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.