Triple
T38549350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Hallows College |
E925063
|
entity |
| Predicate | ceasedTeaching |
P168118
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [All Hallows College, ceasedTeaching, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasedTeaching Context triple: [All Hallows College, ceasedTeaching, 2016]
-
A.
teachingCeased
chosen
Indicates that a previously ongoing act of teaching has come to an end.
-
B.
taughtPosthumouslyTo
Indicates that instruction or teaching was provided to someone only after the teacher’s death.
-
C.
notableFormerTeacher
Indicates that one entity previously taught another and is recognized as a particularly significant or distinguished former teacher of that entity.
-
D.
previousTeacher
Indicates that one entity formerly served as a teacher or instructor of the other entity in the past.
-
E.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.