Triple
T28776495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Thomas Bertram |
E726546
|
entity |
| Predicate | isAbsentFor |
P165579
|
FINISHED |
| Object | several years in Antigua |
—
|
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: several years in Antigua | Statement: [Sir Thomas Bertram, isAbsentFor, several years in Antigua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAbsentFor Context triple: [Sir Thomas Bertram, isAbsentFor, several years in Antigua]
-
A.
notableAbsence
Indicates that something or someone is conspicuously missing from a context where their presence would normally be expected or significant.
-
B.
isNotIndicatedFor
Indicates that a treatment, action, or option is not recommended or appropriate for a particular condition, situation, or entity.
-
C.
possiblePresenceIn
Indicates that an entity may be located in, occur in, or exist within a specified place, context, or container, without asserting that it is definitively present there.
-
D.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
E.
notPresentInWork
Indicates that a specified entity does not appear or occur within a given work (such as a document, artwork, or other created piece).
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:18 a.m.