Triple
T15190440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Teller |
E362991
|
entity |
| Predicate | positionInSAMCRO |
P113151
|
FINISHED |
| Object | first president |
—
|
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: first president | Statement: [John Teller, positionInSAMCRO, first president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSAMCRO Context triple: [John Teller, positionInSAMCRO, first president]
-
A.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
B.
positionInSector
Indicates the specific location or placement of an entity within a defined sector or sub-area.
-
C.
crewLocation
Indicates that a crew is located at, assigned to, or present in a specific place or environment.
-
D.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
E.
positionInUnderworld
chosen
Indicates a hierarchical or role-based position that an entity holds within an underworld or criminal organization.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.