Triple
T18259885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Darnay |
E437319
|
entity |
| Predicate | onTrialFor |
P131066
|
FINISHED |
| Object | Treason in England |
—
|
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: Treason in England | Statement: [Charles Darnay, onTrialFor, Treason in England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onTrialFor Context triple: [Charles Darnay, onTrialFor, Treason in England]
-
A.
trialMode
Indicates that an entity is operating in a temporary, limited-capability trial state rather than in full or permanent mode.
-
B.
hasTrialLevel
Indicates a relationship where an entity is associated with a specific stage or level within a trial or experimental process.
-
C.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
-
D.
hasFirstTrial
Indicates that an entity is associated with its initial or earliest trial, test, or legal proceeding.
-
E.
isTrialLevelFor
Indicates that something pertains specifically to, or operates at, the level of an individual trial within a larger experiment or process.
- F. None of above. chosen
Provenance (4 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd89899c8190b8b652c4f61aa5cf |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.