Triple
T1672341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Montagu, 5th Earl of Sandwich |
E36151
|
entity |
| Predicate | hasTitleNumber |
P7922
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [John Montagu, 5th Earl of Sandwich, hasTitleNumber, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleNumber Context triple: [John Montagu, 5th Earl of Sandwich, hasTitleNumber, 5]
-
A.
titleNumber
chosen
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
B.
hasTitleInLaw
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
-
C.
hasTitleHolder
Indicates that one entity is the current or designated holder of a specific title, position, or honor associated with another entity.
-
D.
hasTitleType
Indicates that an entity holds a specific kind or category of title (such as job title, honorific, or formal designation).
-
E.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.