Triple
T9768327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Richard Randall |
E237054
|
entity |
| Predicate | bequestBeneficiaries |
P1806
|
FINISHED |
| Object | aged and infirm sailors |
—
|
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: aged and infirm sailors | Statement: [Robert Richard Randall, bequestBeneficiaries, aged and infirm sailors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bequestBeneficiaries Context triple: [Robert Richard Randall, bequestBeneficiaries, aged and infirm sailors]
-
A.
beneficiaries
Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
-
B.
eligibleBeneficiaries
Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
-
C.
bequeathedBy
Indicates that something has been left or passed on to an entity through the will or inheritance of another entity.
-
D.
primaryBeneficiaries
chosen
Indicates which entities are the main recipients or advantaged parties resulting from a particular action, resource, or arrangement.
-
E.
willBequest
Indicates a relationship where a person specifies in a will that certain assets or rights are to be given to another party after their death.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a2da648190836916a45d2998d7 |
completed | April 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.