Triple
T23897897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red John |
E600955
|
entity |
| Predicate | killsFamilyOf |
P95571
|
FINISHED |
| Object | Patrick Jane |
—
|
NE NERFINISHED |
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: Patrick Jane | Statement: [Red John, killsFamilyOf, Patrick Jane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killsFamilyOf Context triple: [Red John, killsFamilyOf, Patrick Jane]
-
A.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
B.
skillFamily
Indicates that one skill belongs to, or is categorized under, a broader family or group of related skills.
-
C.
targetsFamilyOf
chosen
Indicates that one entity is directed against, aimed at, or designed to affect a particular family or group of closely related entities.
-
D.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
-
E.
familyClass
Indicates that an entity belongs to, or is categorized within, a particular family grouping or class in a familial or taxonomic hierarchy.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddb3fdc819096dc84a1774d9bee |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.