Triple
T9670632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alceste |
E234016
|
entity |
| Predicate | character |
P662
|
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: [Alceste, character, Hercules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hercules Context triple: [Alceste, character, Hercules]
-
A.
Hercules
Hercules is a historic steam-powered tugboat preserved as a museum ship in San Francisco, showcasing early 20th-century maritime industry and engineering.
-
B.
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.
-
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 small suburban city in Contra Costa County, California, located along the northeastern shore of San Pablo Bay in the San Francisco Bay Area.
-
E.
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.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3ec17081908c2da74a1d1f49da |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a247ca48190910624dfbf0b491d |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.