Triple
T3582758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Broad |
E75838
|
entity |
| Predicate | hasCollectionFromPeriod |
P49868
|
FINISHED |
| Object | post-World War II |
—
|
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: post-World War II | Statement: [The Broad, hasCollectionFromPeriod, post-World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionFromPeriod Context triple: [The Broad, hasCollectionFromPeriod, post-World War II]
-
A.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
-
B.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
C.
hasCollectionAt
Indicates that a collection or gathering of items, data, or resources is located, stored, or maintained at a specific place or context.
-
D.
commonInPeriod
Indicates that something frequently occurs, appears, or is prevalent during a specified time period.
-
E.
hasSubPeriod
Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
- F. None of above. chosen
Provenance (4 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:21 p.m.