Triple
T36923444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnage |
E913269
|
entity |
| Predicate | hostPrimaryOccupation |
P93070
|
FINISHED |
| Object | serial killer |
—
|
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: serial killer | Statement: [Carnage, hostPrimaryOccupation, serial killer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostPrimaryOccupation Context triple: [Carnage, hostPrimaryOccupation, serial killer]
-
A.
mainOccupationFrom
chosen
Indicates that the specified occupation is the primary or main job held by the given entity.
-
B.
headOfHouseholdOccupation
Indicates the type of job or profession held by the person identified as the head of a household.
-
C.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
D.
householdOccupation
Indicates that an entity’s role, job, or function is specifically associated with work or duties performed within a household.
-
E.
originalHolderOccupation
Indicates the occupation or professional role held by the entity that originally possessed or owned another entity.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdcee55c8190ac5c514365310457 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.