Triple
T22433012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shipwreck of the Tsimtsum |
E554543
|
entity |
| Predicate | approximateTimeInStory |
P11197
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [shipwreck of the Tsimtsum, approximateTimeInStory, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTimeInStory Context triple: [shipwreck of the Tsimtsum, approximateTimeInStory, 1970s]
-
A.
timeOfNarrative
chosen
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
B.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
C.
timeRequiredToRead
Indicates the amount of time needed for an entity (such as a person) to read a given item or content.
-
D.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
E.
readingTime
Indicates the duration or amount of time an entity spends (or is expected to spend) reading another entity.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.