Triple
T36445594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verges |
E897860
|
entity |
| Predicate | helpsRevealPlot |
P183313
|
FINISHED |
| Object | exposure of Don John’s plot |
—
|
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: exposure of Don John’s plot | Statement: [Verges, helpsRevealPlot, exposure of Don John’s plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsRevealPlot Context triple: [Verges, helpsRevealPlot, exposure of Don John’s plot]
-
A.
revealsThat
chosen
Indicates that one entity discloses, exposes, or makes known some information, fact, or state of affairs about another entity or situation.
-
B.
helpedRevealIdentityOf
Indicates that one entity contributed to uncovering or making known the identity of another entity.
-
C.
aimsToReveal
Indicates an intention or effort by one entity to make previously unknown, hidden, or unclear information, qualities, or facts apparent to another entity.
-
D.
revealsMurderTo
Indicates that one entity discloses information about a murder to another entity.
-
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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.