Triple
T36548658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Kinslaying |
E901197
|
entity |
| Predicate | chronologicalOrderInKinslayings |
P197149
|
FINISHED |
| Object | third |
—
|
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: third | Statement: [Third Kinslaying, chronologicalOrderInKinslayings, third]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInKinslayings Context triple: [Third Kinslaying, chronologicalOrderInKinslayings, third]
-
A.
childrenKilledDuring
Indicates that one or more children were killed in the course of a specified event, action, or time period.
-
B.
allegedToHaveKilled
Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
-
C.
perpetratorOfKilling
Indicates that an entity is the one who carried out or caused a particular killing.
-
D.
massacreOccurredIn
Indicates that a massacre took place within the specified location or area.
-
E.
massacreOrderedBy
Indicates that a massacre was carried out under the command, authorization, or directive of a particular person or authority.
- F. None of above. chosen
Provenance (4 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: May 3, 2026, 4:11 p.m.