Triple
T6898773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Denys |
E159438
|
entity |
| Predicate | legendaryAct |
P41523
|
FINISHED |
| Object | carried his severed head after decapitation |
—
|
LITERAL 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: carried his severed head after decapitation | Statement: [St Denys, legendaryAct, carried his severed head after decapitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legendaryAct Context triple: [St Denys, legendaryAct, carried his severed head after decapitation]
-
A.
famousLegend
Indicates that the subject is widely known and celebrated in stories, myths, or folklore, often with enduring cultural significance.
-
B.
legendaryDeath
chosen
Indicates a death that is renowned or celebrated in stories or history, often marked by extraordinary circumstances or lasting fame.
-
C.
bestKnownLegend
Indicates that one entity is the most prominent or widely recognized legendary story or myth associated with another entity.
-
D.
eraOfFame
Indicates the time period during which an entity was most widely recognized, influential, or prominent.
-
E.
eraOfHonouredPersonActivity
Indicates the historical period or era during which the honoured person carried out their notable activities.
- F. None of above.
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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95d67448190857f36b8115b03f6 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.