Triple
T8347754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Hippolyta |
E196082
|
entity |
| Predicate | associatedWith |
P37
|
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: [Queen Hippolyta, associatedWith, Heracles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heracles Context triple: [Queen Hippolyta, associatedWith, 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.
Herculez
Herculez is the distinctive given name of former American professional soccer player and sports analyst Herculez Gomez.
-
D.
Hercules
Hercules is a prominent northern-sky constellation named after the mythological Greek hero, known for containing the bright globular cluster Messier 13.
-
E.
Hercules
Hercules is a 1997 Disney animated musical film that reimagines the Greek mythological hero as a young demigod seeking to prove himself a true hero.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc745f33c8190a043aff437874391 |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.