Triple
T31591492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tait College |
E806108
|
entity |
| Predicate | timeOfDepictedSetting |
P30546
|
FINISHED |
| Object | late 1920s–1940s American college era (fictionalized) |
—
|
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: late 1920s–1940s American college era (fictionalized) | Statement: [Tait College, timeOfDepictedSetting, late 1920s–1940s American college era (fictionalized)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDepictedSetting Context triple: [Tait College, timeOfDepictedSetting, late 1920s–1940s American college era (fictionalized)]
-
A.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
B.
depictionOfTime
chosen
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
C.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
D.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
E.
sceneDepicts
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 30, 2026, 10:28 p.m.