Triple
T8709051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Ullman |
E206725
|
entity |
| Predicate | basedOnWorkPublicationYear |
P25
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [Stuart Ullman, basedOnWorkPublicationYear, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkPublicationYear Context triple: [Stuart Ullman, basedOnWorkPublicationYear, 1977]
-
A.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
-
B.
basedOnWorkAppearedIn
Indicates that something is derived from, adapted from, or otherwise created using a work that appeared in a specified source or publication.
-
C.
collectedInPublicationYear
Indicates that the collecting event or data record was documented in a publication that appeared in the specified year.
-
D.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
E.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c2e9c688190aceefaa2c3b7d7bd |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.