Triple
T14717291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His Eminence |
E345713
|
entity |
| Predicate | referenceForm |
P115506
|
FINISHED |
| Object | His Eminence |
—
|
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: His Eminence | Statement: [His Eminence, referenceForm, His Eminence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceForm Context triple: [His Eminence, referenceForm, His Eminence]
-
A.
relatedForm
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
-
B.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding of another entity.
-
C.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
D.
regulatoryForm
Indicates the specific legal or organizational regulatory structure under which an entity is established or operates.
-
E.
refundForm
Indicates that an entity is a form or process used to request or process a refund for another entity.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98688f48190b2b19ce7aa06a6db |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.