Triple
T4994178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattle of Geryon |
E112203
|
entity |
| Predicate | takenBy |
P53634
|
FINISHED |
| Object | Heracles |
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: Heracles | Statement: [Cattle of Geryon, takenBy, Heracles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heracles Context triple: [Cattle of Geryon, takenBy, Heracles]
-
A.
Heracles
chosen
Heracles is a legendary hero of Greek mythology renowned for his superhuman strength and his completion of the Twelve Labors.
-
B.
Herculaas
Herculaas is the middle name of Jacobus Herculaas de la Rey, a prominent Boer general and political leader during the Second Anglo-Boer War.
-
C.
Hercules
Hercules is a prominent northern-sky constellation named after the mythological Greek hero, known for containing the bright globular cluster Messier 13.
-
D.
Hercules
Hercules is a historic steam-powered tugboat preserved as a museum ship in San Francisco, showcasing early 20th-century maritime industry and engineering.
-
E.
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.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729e9fb48190a467b6a373a73367 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef8be078819094cbf65b0fcdf8dd |
completed | March 21, 2026, 7:20 p.m. |
Created at: March 20, 2026, 1:34 p.m.