Triple
T38022449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodward High School |
E948676
|
entity |
| Predicate | hasNotableStaffAlumnus |
P207561
|
FINISHED |
| Object | Mick Cronin |
E273459
|
NE 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: Mick Cronin | Statement: [Woodward High School, hasNotableStaffAlumnus, Mick Cronin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStaffAlumnus Context triple: [Woodward High School, hasNotableStaffAlumnus, Mick Cronin]
-
A.
hasNotableFacultyAlumnus
Indicates that an individual is a distinguished former student who is recognized as notable faculty at a given institution.
-
B.
hasNotableAlumniInstitution
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
-
C.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
D.
hasNotableFieldOfAlumniAchievement
Indicates that there exists a field or domain in which an institution’s alumni are particularly distinguished or have achieved notable success.
-
E.
hasNotableMemberSchool
Indicates that an organization or group includes a school that is recognized as a particularly important or distinguished member.
- F. None of above. chosen
Provenance (5 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415d2aa4448190a9ae7a6ff99985c6 |
completed | June 28, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:20 p.m.