Triple
T25133399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GISLEBERTUS HOC FECIT |
E629588
|
entity |
| Predicate | objectPronoun |
P5237
|
FINISHED |
| Object | HOC |
—
|
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: HOC | Statement: [GISLEBERTUS HOC FECIT, objectPronoun, HOC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectPronoun Context triple: [GISLEBERTUS HOC FECIT, objectPronoun, HOC]
-
A.
objectOfVerb
Indicates that one entity serves as the direct object or recipient of the action expressed by a given verb in a clause.
-
B.
objet
Indicates that one entity is the object (recipient or target) of an action or relation performed by another entity.
-
C.
hasPronounForIt
chosen
Indicates that one entity serves as the pronoun form referring to another entity.
-
D.
grammaticalPerson
Indicates the grammatical role of a participant in speech (such as first, second, or third person) in relation to the speaker and listener.
-
E.
objectUsed
Indicates that one entity is used as a tool, instrument, or resource in performing an action involving 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465fdb83c81909ee750f7afdc15da |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:28 a.m.