Triple
T17924121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Prophecy |
E448146
|
entity |
| Predicate | geographicFocus |
P82
|
FINISHED |
| Object | Tymion |
—
|
NE NERFINISHED |
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: Tymion | Statement: [New Prophecy, geographicFocus, Tymion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tymion Context triple: [New Prophecy, geographicFocus, Tymion]
-
A.
Tymion
chosen
Tymion was an ancient town in Roman Asia Minor, likely in the region of Phrygia, known from early Christian and imperial-era sources.
-
B.
Tyrum
Tyrum is a fictional character played by British actor Kevin Stoney, likely appearing in a television or film production.
-
C.
Kalisto
Kalisto is a high-flying Mexican-American professional wrestler best known for his acrobatic lucha libre style in WWE.
-
D.
Tyron
Tyron is a masculine given name, most notably borne by former UFC Welterweight Champion Tyron Woodley.
-
E.
Adam Curry
Adam Curry is a Dutch-American media personality and former MTV VJ known for popularizing heavy metal on television and later pioneering podcasting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54cf8188190b9bd676443418c23 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.