Triple
T14120417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Clements |
E339889
|
entity |
| Predicate | coDirectorOf |
P17194
|
FINISHED |
| Object | Hercules |
E640392
|
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: Hercules | Statement: [Ron Clements, coDirectorOf, Hercules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hercules Context triple: [Ron Clements, coDirectorOf, Hercules]
-
A.
Hercules
Hercules is a prominent northern-sky constellation named after the mythological Greek hero, known for containing the bright globular cluster Messier 13.
-
B.
Hercules
chosen
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.
-
C.
Hercules
"Hercules" is a 1972 song by Elton John, featured on his album *Honky Château* and noted for its upbeat rock style and energetic piano-driven arrangement.
-
D.
Hercules
Hercules is a legendary hero of Greco-Roman mythology renowned for his superhuman strength and his completion of the Twelve Labors.
-
E.
Hercules
Hercules is a superhumanly strong Olympian demigod and long-time Marvel Comics superhero known for his mythic origins and membership in various heroic teams.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e04184819081633f9cfc0ccab9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:22 p.m.