Triple
T662914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunt Polly |
E11795
|
entity |
| Predicate | publicationYearOfFirstAppearance |
P25
|
FINISHED |
| Object | 1876 |
—
|
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: 1876 | Statement: [Aunt Polly, publicationYearOfFirstAppearance, 1876]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearOfFirstAppearance Context triple: [Aunt Polly, publicationYearOfFirstAppearance, 1876]
-
A.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
B.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
C.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
D.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
E.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd081e8819097f289961f5eff29 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.