Triple
T376383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menoetius |
E8381
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Prometheus |
E3193
|
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: Prometheus | Statement: [Menoetius, siblingOf, Prometheus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prometheus Context triple: [Menoetius, siblingOf, Prometheus]
-
A.
Prometheus
chosen
Prometheus is a Titan in Greek mythology best known for creating humanity and stealing fire from the gods to give to humans, an act for which he was severely punished by Zeus.
-
B.
Prometheus
Prometheus is a 2012 science fiction horror film directed by Ridley Scott that explores the origins of humanity through a deep-space expedition gone wrong.
-
C.
Hyperion
Hyperion is one of Saturn’s larger, irregularly shaped moons, known for its chaotic rotation and sponge-like, heavily cratered surface.
-
D.
Hyperion
Hyperion is a romantic travelogue novel by Henry Wadsworth Longfellow that blends fiction, philosophy, and lyrical descriptions of Germany.
-
E.
Elysium
Elysium is the blissful afterlife realm in ancient Greek belief where especially virtuous or heroic souls enjoyed eternal happiness.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee2b0ec481908fac41a4e1d20468 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f4dd9a1c8190a0fc7012a24425c4 |
completed | March 1, 2026, 8:12 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.