Triple
T10586354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Schrader |
E249863
|
entity |
| Predicate | taughtAt |
P1203
|
FINISHED |
| Object | UCLA |
E27622
|
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: UCLA | Statement: [Leonard Schrader, taughtAt, UCLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCLA Context triple: [Leonard Schrader, taughtAt, UCLA]
-
A.
University of California, Los Angeles
chosen
The University of California, Los Angeles (UCLA) is a leading public research university in Los Angeles renowned for its strong academic programs, influential research, and competitive athletics.
-
B.
USC
USC is a Japanese space launch and tracking facility operated by JAXA, known for supporting satellite launches and space science missions.
-
C.
USC
USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
-
D.
USC
USC is a common abbreviation that, in this context, refers to the University of South Carolina and its Gamecocks athletic teams competing in NCAA Division I sports.
-
E.
USC
USC is a public university in Queensland, Australia, known for its modern campuses and focus on teaching quality and regional engagement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527698be48190a2f5e573d7cc0661 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e63561081909af8b2242e896bfe |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:39 p.m.