Triple
T25863258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Chetham |
E651541
|
entity |
| Predicate | hasPartInWill |
P10186
|
FINISHED |
| Object | endowment for a boys' hospital |
—
|
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: endowment for a boys' hospital | Statement: [Humphrey Chetham, hasPartInWill, endowment for a boys' hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInWill Context triple: [Humphrey Chetham, hasPartInWill, endowment for a boys' hospital]
-
A.
hasPartIn
chosen
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
containedPartOf
Indicates that one entity is physically or logically included within and forms a part of another entity.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 22, 2026, 8:06 a.m.