Triple
T21278995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Robert Montgomery, 3rd Baronet of The Hall |
E524466
|
entity |
| Predicate | holdsTitleNumber |
P7922
|
FINISHED |
| Object | 3rd Baronet |
—
|
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: 3rd Baronet | Statement: [Sir Robert Montgomery, 3rd Baronet of The Hall, holdsTitleNumber, 3rd Baronet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsTitleNumber Context triple: [Sir Robert Montgomery, 3rd Baronet of The Hall, holdsTitleNumber, 3rd Baronet]
-
A.
heldTitleUnder
Indicates that one entity possessed or occupied a particular title, rank, or office under the authority, jurisdiction, or auspices of another entity.
-
B.
heldTitleAlongWith
Indicates that two or more entities simultaneously held the same title or position during an overlapping period.
-
C.
titleNumber
chosen
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
D.
titleHeldTo
Indicates that one entity holds or possesses a specific title in relation to another entity or context.
-
E.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73658f598819098a1192abfa40a12 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:02 p.m.