Triple
T33727545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Real Transported Man |
E864183
|
entity |
| Predicate | causesSuspicionIn |
P91911
|
FINISHED |
| Object | Cutter |
—
|
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: Cutter | Statement: [The Real Transported Man, causesSuspicionIn, Cutter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causesSuspicionIn Context triple: [The Real Transported Man, causesSuspicionIn, Cutter]
-
A.
isSuspiciousOf
chosen
Indicates that one entity believes another entity or situation may be untrustworthy, harmful, or involved in wrongdoing.
-
B.
hasSuspect
Indicates that an entity is identified or considered as a suspect in relation to another entity or incident.
-
C.
suspectedButNotConfirmed
Indicates that something is believed or alleged to be true, but there is not yet sufficient evidence or verification to confirm it.
-
D.
effectOnSuspects
Indicates how an action, event, or condition influences or impacts the suspects involved.
-
E.
hasMultipleSuspectsInPlot
Indicates that a plot or scheme involves more than one individual as suspects.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:44 a.m.