Triple
T9610644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Chang |
E232089
|
entity |
| Predicate | roleAtGreendale |
P38510
|
FINISHED |
| Object | Spanish teacher |
—
|
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: Spanish teacher | Statement: [Ben Chang, roleAtGreendale, Spanish teacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtGreendale Context triple: [Ben Chang, roleAtGreendale, Spanish teacher]
-
A.
roleAtMidway
Indicates that an entity holds or held a specific role, position, or function at the midpoint or intermediate stage of a process, event, or time period.
-
B.
roleAtUCSD
Indicates that an entity holds or has held a specific role or position at the University of California, San Diego (UCSD).
-
C.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
D.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
E.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.