Triple
T16086978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleric Philip |
E390257
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Alfava Metraxis |
E390250
|
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: Alfava Metraxis | Statement: [Cleric Philip, setting, Alfava Metraxis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfava Metraxis Context triple: [Cleric Philip, setting, Alfava Metraxis]
-
A.
Alfava Metraxis
chosen
Alfava Metraxis is a human-colonized planet in the Doctor Who universe, notable for its vast Aplan catacombs and as the site of a Weeping Angels encounter.
-
B.
Aternus
Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
-
C.
Arcalod
Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
-
D.
Metreon
Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
-
E.
Tessarion
Tessarion is a blue she-dragon from George R. R. Martin’s Targaryen history, known for her role in the Targaryen civil war called the Dance of the Dragons.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1844f95508190a06dad0ccc9b6191 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb934b448190a486401ac6c01065 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.