Triple
T27014540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Ryback |
E680487
|
entity |
| Predicate | sequelNotableAction |
P7326
|
FINISHED |
| Object | thwarts terrorist plot on a train |
—
|
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: thwarts terrorist plot on a train | Statement: [Casey Ryback, sequelNotableAction, thwarts terrorist plot on a train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelNotableAction Context triple: [Casey Ryback, sequelNotableAction, thwarts terrorist plot on a train]
-
A.
notableActionAt
Indicates that an entity performed or was involved in a significant action or event at a specific location or point in time.
-
B.
notableScene
chosen
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
sequelPerformer
Indicates that a performer participates in a work that is a sequel to a previous work.
-
D.
sequelAppearsIn
Indicates that a sequel (such as a follow-up work or installment) is featured, shown, or occurs within a specified context or medium.
-
E.
sequelDirected
Indicates that one work is a sequel to another and was directed by the same director or a specific director associated with that sequel relationship.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621ff76fc81908b6f456b31d43833 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:05 a.m.