Triple
T14947980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blind Man |
E372715
|
entity |
| Predicate | publicationYearStart |
P25
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [The Blind Man, publicationYearStart, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearStart Context triple: [The Blind Man, publicationYearStart, 1917]
-
A.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
B.
serialPublicationStartYear
Indicates the calendar year in which a serial publication (such as a journal, magazine, or series) first began being issued.
-
C.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
D.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
E.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.