Triple
T1769764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merton College, Oxford |
E38846
|
entity |
| Predicate | hasWarden |
P31687
|
FINISHED |
| Object | head of house of Merton College, Oxford |
—
|
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: head of house of Merton College, Oxford | Statement: [Merton College, Oxford, hasWarden, head of house of Merton College, Oxford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarden Context triple: [Merton College, Oxford, hasWarden, head of house of Merton College, Oxford]
-
A.
containsWard
Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
-
B.
hasSergeantAtArms
Indicates that an organization, body, or group is associated with and formally appoints a specific individual to serve in the role of Sergeant-at-Arms.
-
C.
hasJail
Indicates that one entity possesses, operates, or is associated with a jail or detention facility.
-
D.
hasServant
Indicates that one entity has another entity serving it in a subordinate or attendant role.
-
E.
hasAgent
Indicates that an action or event is carried out or initiated by a particular agent.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab39faf69c8190bae98d3e3911078f |
completed | March 6, 2026, 8:32 p.m. |
Created at: March 4, 2026, 7:31 p.m.