Triple
T5101656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Audience |
E114992
|
entity |
| Predicate | depictsTimeSpan |
P30546
|
FINISHED |
| Object | reign of Queen Elizabeth 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: reign of Queen Elizabeth II | Statement: [The Audience, depictsTimeSpan, reign of Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsTimeSpan Context triple: [The Audience, depictsTimeSpan, reign of Queen Elizabeth II]
-
A.
depictionOfTime
chosen
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
B.
collectionTimespan
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
-
E.
narrativeTimeSpanHours
Indicates the duration of a narrative or story event measured in hours.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.