Triple
T2762450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry |
E61254
|
entity |
| Predicate | usedByAuthorTo |
P42995
|
FINISHED |
| Object | criticize slavery |
—
|
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 slavery | Statement: [Harry, usedByAuthorTo, criticize slavery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByAuthorTo Context triple: [Harry, usedByAuthorTo, criticize slavery]
-
A.
usedByPerson
Indicates that something (such as an object, tool, or resource) is utilized or employed by a person.
-
B.
usedToWrite
Indicates that one entity served as a tool, medium, or instrument that another entity employed to perform the act of writing.
-
C.
usesBookAs
Indicates that one entity employs or treats a book as a particular tool, resource, or role in a given context.
-
D.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
E.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.