Triple
T5225479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemens Romanus |
E117973
|
entity |
| Predicate | legendaryMannerOfDeath |
P41523
|
FINISHED |
| Object | tied to an anchor and drowned |
—
|
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: tied to an anchor and drowned | Statement: [Clemens Romanus, legendaryMannerOfDeath, tied to an anchor and drowned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legendaryMannerOfDeath Context triple: [Clemens Romanus, legendaryMannerOfDeath, tied to an anchor and drowned]
-
A.
legendaryDeath
chosen
Indicates a death that is renowned or celebrated in stories or history, often marked by extraordinary circumstances or lasting fame.
-
B.
traditionalMannerOfDeath
Indicates that an entity died in a way that follows or reflects a culturally recognized or customary method of death.
-
C.
hasMannerOfDeath
Indicates the specific way or circumstances in which an entity died, such as natural causes, accident, homicide, or suicide.
-
D.
traditionallyDiedIn
Indicates that, according to tradition or customary accounts (rather than strictly verified historical evidence), one entity is said to have died in the location or context of another entity.
-
E.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.