Triple
T37138734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staff Sergeant Wilhelm |
E920044
|
entity |
| Predicate | causeOfSuspicion |
P146054
|
FINISHED |
| Object | Hicox’s unusual German accent |
—
|
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: Hicox’s unusual German accent | Statement: [Staff Sergeant Wilhelm, causeOfSuspicion, Hicox’s unusual German accent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfSuspicion Context triple: [Staff Sergeant Wilhelm, causeOfSuspicion, Hicox’s unusual German accent]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
isSuspiciousOf
Indicates that one entity believes another entity or situation may be untrustworthy, harmful, or involved in wrongdoing.
-
C.
possibleCauseOf
chosen
Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
-
D.
eligibleCause
Indicates that one entity qualifies as a valid or acceptable cause or reason for another entity or outcome.
-
E.
suspectedButNotConfirmed
Indicates that something is believed or alleged to be true, but there is not yet sufficient evidence or verification to confirm it.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:15 p.m.