Triple
T18994386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Robarts to endorse bills |
E464768
|
entity |
| Predicate | isUsedByAuthorTo |
P42995
|
FINISHED |
| Object | criticize social climbing |
—
|
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: criticize social climbing | Statement: [Mark Robarts to endorse bills, isUsedByAuthorTo, criticize social climbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedByAuthorTo Context triple: [Mark Robarts to endorse bills, isUsedByAuthorTo, criticize social climbing]
-
A.
usedByAuthorTo
chosen
Indicates that something is employed or utilized by an author to achieve a particular purpose or effect.
-
B.
usedByAuthor
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
-
C.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
D.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
E.
usedAsAuthorCitationFor
Indicates that one entity is cited or referenced as the author in the bibliographic citation of another entity.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d680dd2881908a72e732c6b25477 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.