Triple
T36923820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monçada |
E913278
|
entity |
| Predicate | roleInThemesOfWork |
P203657
|
FINISHED |
| Object | illustrates religious fanaticism |
—
|
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: illustrates religious fanaticism | Statement: [Monçada, roleInThemesOfWork, illustrates religious fanaticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInThemesOfWork Context triple: [Monçada, roleInThemesOfWork, illustrates religious fanaticism]
-
A.
roleInResearch
Indicates that an entity participates in a research activity with a specified function, position, or responsibility within that research.
-
B.
roleInRepertoire
Indicates that an entity serves a specific role or function within a larger repertoire, collection, or set of items.
-
C.
roleInDesignOf
Indicates that an entity participated in or held a specific function within the process of designing another entity.
-
D.
roleInTheory
Indicates the specific function, position, or contribution that an entity has within a particular theory or theoretical framework.
-
E.
roleOfPerson
Indicates that a specific role, function, or position is assigned to or held by a particular person.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01beacf8a88190ac643a75c7a0efc4 |
completed | May 11, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_6a01be152c8c8190bb19d64a683e2aae |
completed | May 11, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_6a01beac1334819082be0e4cf017e00c |
completed | May 11, 2026, 11:34 a.m. |
Created at: May 3, 2026, 4:13 p.m.