Triple
T9574213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyncheon family mansion |
E231001
|
entity |
| Predicate | timeDepthInStory |
P40474
|
FINISHED |
| Object | several generations |
—
|
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: several generations | Statement: [Pyncheon family mansion, timeDepthInStory, several generations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDepthInStory Context triple: [Pyncheon family mansion, timeDepthInStory, several generations]
-
A.
hasTimeDepth
chosen
Indicates that something possesses or spans a measurable extent of time, such as duration, historical depth, or temporal layering.
-
B.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
C.
dimensionOfTime
Indicates a temporal measurement or extent that specifies how long something lasts or when it occurs.
-
D.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
-
E.
followsTime
Indicates that one event, state, or time period occurs after and in temporal succession to another.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99a94c788190a4bb5d2b676908ac |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.