Triple
T4229941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinatown Gate |
E94554
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Clayton Lee |
E421624
|
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: Clayton Lee | Statement: [Chinatown Gate, designer, Clayton Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clayton Lee Context triple: [Chinatown Gate, designer, Clayton Lee]
-
A.
Clayton Lee
chosen
Clayton Lee is an architect known for designing the Chinatown Gate.
-
B.
Davey Lee
Davey Lee was a child actor of the late 1920s best known for appearing alongside Al Jolson in early sound films.
-
C.
Clayton Endicott III
Clayton Endicott III is a pompous yet endearing chief of staff on the political sitcom "Benson," known for his formal manner and frequent clashes with the title character.
-
D.
Clayton Hamilton
Clayton Hamilton was an American drama critic and author known for his influential early 20th-century writings on theater and dramatic literature.
-
E.
Luther Van Dam
Luther Van Dam is a bumbling yet lovable assistant football coach on the sitcom "Coach," known for his comedic antics and loyalty to head coach Hayden Fox.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e61ccc081909b880baf1d6a0f24 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a85fdbe08190bcdc18a4bc456b59 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.