Triple
T6768598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orozco murals |
E154986
|
entity |
| Predicate | notableWork |
P4
|
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: [Orozco murals, notableWork, Prometheus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prometheus Context triple: [Orozco murals, notableWork, 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 an open-source systems monitoring and alerting toolkit widely used for collecting and querying metrics in cloud-native and Kubernetes-based environments.
-
C.
Prometheus
Prometheus is a small inner moon of Saturn known for gravitationally shaping and maintaining the structure of the planet’s F ring.
-
D.
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.
-
E.
Hyperion
Hyperion is an American publishing company and imprint known for releasing a wide range of popular fiction and nonfiction titles.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d232d1f08190bc30c0f24f28c475 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712c150088190b7e827cb1e45f1df |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:12 p.m.