Triple
T11344069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Holloway |
E268672
|
entity |
| Predicate | notableEraDepicted |
P71381
|
FINISHED |
| Object | postwar American corporate culture |
—
|
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: postwar American corporate culture | Statement: [Joan Holloway, notableEraDepicted, postwar American corporate culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEraDepicted Context triple: [Joan Holloway, notableEraDepicted, postwar American corporate culture]
-
A.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
notableEraStart
Indicates the point in time when a notable or historically significant era associated with an entity begins.
-
C.
notableSeriesEra
chosen
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
D.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
E.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.