Triple
T1177049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon the Zealot |
E25050
|
entity |
| Predicate | possibleMannerOfDeath |
P144
|
FINISHED |
| Object | martyrdom |
—
|
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: martyrdom | Statement: [Simon the Zealot, possibleMannerOfDeath, martyrdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleMannerOfDeath Context triple: [Simon the Zealot, possibleMannerOfDeath, martyrdom]
-
A.
causeOfDeath
chosen
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
B.
deathToll
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
C.
death
Indicates the event or state in which an entity ceases to live or exist, marking the end of its biological or functional processes.
-
D.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
-
E.
fatalitiesCategory
Indicates the classification of deaths associated with an event, incident, or condition into a specific category or severity level.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.