Triple
T14707449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox River State Penitentiary |
E345461
|
entity |
| Predicate | firstSeasonFocus |
P111072
|
FINISHED |
| Object | planning and execution of escape |
—
|
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: planning and execution of escape | Statement: [Fox River State Penitentiary, firstSeasonFocus, planning and execution of escape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonFocus Context triple: [Fox River State Penitentiary, firstSeasonFocus, planning and execution of escape]
-
A.
firstSeriesFocusesOn
chosen
Indicates that the initial installment or season in a series primarily centers on or is devoted to a particular subject, character, or theme.
-
B.
firstSeasonOf
Indicates that one entity is the first season installment belonging to the series or show represented by the other entity.
-
C.
firstSeasonBasedOn
Indicates that the first season of a series is based on, adapted from, or derived from another work or source.
-
D.
firstSeasonDetermined
Indicates that the initial season associated with an entity has been identified or established.
-
E.
firstSpeechFocus
Indicates that the referenced entity is the primary or initial focus or topic of attention in a given speech or utterance.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.