Triple
T3637409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan Hall |
E77105
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Charles C. Tan |
E77105
|
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: Charles C. Tan | Statement: [Tan Hall, namedAfter, Charles C. Tan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles C. Tan Context triple: [Tan Hall, namedAfter, Charles C. Tan]
-
A.
Charles C. Tan
chosen
Charles C. Tan was a notable benefactor and alumnus of the University of California, Berkeley, for whom the university’s chemical engineering building, Tan Hall, is named.
-
B.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
-
C.
Larry Fong
Larry Fong is an American cinematographer known for his visually striking work on major films such as "300," "Watchmen," and "Batman v Superman: Dawn of Justice."
-
D.
Alfred Chuang
Alfred Chuang is a Chinese-American technology entrepreneur best known as the co-founder and former CEO of enterprise software company BEA Systems.
-
E.
Eugene Wong
Eugene Wong is a computer scientist best known for his pioneering contributions to relational database theory and the development of early relational database systems.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f23298481909d313d6b3f8013cd |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.