Triple
T35820401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Destin Mattias |
E1035481
|
entity |
| Predicate | trappedDuration |
P163765
|
FINISHED |
| Object | over thirty years |
—
|
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: over thirty years | Statement: [Lieutenant Destin Mattias, trappedDuration, over thirty years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trappedDuration Context triple: [Lieutenant Destin Mattias, trappedDuration, over thirty years]
-
A.
trappedDuring
Indicates that one entity is confined, caught, or immobilized while a specified event or situation is occurring.
-
B.
trappedFor
chosen
Indicates that one entity is confined or held captive by another entity or within a particular situation for a period of time.
-
C.
trappedWith
Indicates that two or more entities are confined together in the same restricted space or situation, unable to leave independently.
-
D.
trappedIn
Indicates that one entity is confined or caught within another entity or bounded space, unable to leave freely.
-
E.
eraDuration
Indicates the length of time that a particular era or period spans.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.