Triple
T1843137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormfield (Mark Twain estate) |
E41222
|
entity |
| Predicate | MarkTwainMoveInYear |
P34069
|
FINISHED |
| Object | 1908 |
—
|
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: 1908 | Statement: [Stormfield (Mark Twain estate), MarkTwainMoveInYear, 1908]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MarkTwainMoveInYear Context triple: [Stormfield (Mark Twain estate), MarkTwainMoveInYear, 1908]
-
A.
majorExpositionYear
Indicates the year in which a major exposition, exhibition, or similar large-scale public event took place or was held.
-
B.
wasInventedInYear
Indicates that an entity was created or invented in a specific calendar year.
-
C.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
-
D.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
-
E.
yearOfInauguralReading
Indicates the calendar year in which an entity’s inaugural (first) reading or performance took place.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.