Triple
T34010628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Bold |
E872099
|
entity |
| Predicate | firstPublicationOfSeries |
P104118
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Mrs Bold, firstPublicationOfSeries, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationOfSeries Context triple: [Mrs Bold, firstPublicationOfSeries, 2015]
-
A.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
B.
firstSerialPublicationYear
chosen
Indicates the calendar year in which a work was first published in serial form.
-
C.
firstWorkInSeries
Indicates that a work is the initial installment or opening entry in a series or sequence of related works.
-
D.
firstHeldInSeries
Indicates that an event is the initial occurrence within a chronological series of related events.
-
E.
firstFasciclesPublished
Indicates that the subject is the entity for which the earliest fascicles (initial installments or parts of a larger work) were published.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:51 a.m.