Triple
T14848156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Twist |
E349155
|
entity |
| Predicate | timeOfFirstSerialisation |
P59503
|
FINISHED |
| Object | 1837 |
—
|
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: 1837 | Statement: [Oliver Twist, timeOfFirstSerialisation, 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFirstSerialisation Context triple: [Oliver Twist, timeOfFirstSerialisation, 1837]
-
A.
firstSerialisedIn
Indicates the original publication or medium in which something (such as a work or story) was first released in serialized form.
-
B.
firstSerializationYear
chosen
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
-
C.
timeInSeries
Indicates that one temporal value occurs within the duration or sequence span defined by another in a series.
-
D.
firstTimeSince
Indicates that an event or state is occurring now after not having occurred since a specified prior time or reference event.
-
E.
firstBroadcastTime
Indicates the date and time at which something (typically a program or content) was first broadcast.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.