Triple
T21541813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinness World Record for the largest number of noble titles |
E531508
|
entity |
| Predicate | recordHolderType |
P144168
|
FINISHED |
| Object | natural person |
—
|
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: natural person | Statement: [Guinness World Record for the largest number of noble titles, recordHolderType, natural person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordHolderType Context triple: [Guinness World Record for the largest number of noble titles, recordHolderType, natural person]
-
A.
recordsType
Indicates that one entity documents, stores, or keeps an official account of a particular type or category of information, event, or item.
-
B.
recordHeld
Indicates that one entity possesses or maintains a particular record associated with another entity or context.
-
C.
recordHeldIn
Indicates that a record is stored, maintained, or kept within a particular location, system, or repository.
-
D.
recordHeldFrom
Indicates that a record or position was held by an entity starting from a specified point in time.
-
E.
recordTitleHolder
Indicates that one entity is recognized as the current holder of a particular record associated with 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d12b264819096f844b5833198aa |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:28 p.m.