Triple
T4268999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daughter of Shanghai |
E96893
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Robert Florey |
E215311
|
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: Robert Florey | Statement: [Daughter of Shanghai, director, Robert Florey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Florey Context triple: [Daughter of Shanghai, director, Robert Florey]
-
A.
Robert Florey
chosen
Robert Florey was a French-American film director and screenwriter known for his work in early Hollywood horror and experimental cinema.
-
B.
Frank Losee
Frank Losee was an American stage and silent film actor active in the early 20th century.
-
C.
Val Fitch
Val Fitch was an American nuclear physicist and Nobel laureate renowned for his co-discovery of CP violation in the decay of neutral K-mesons, a finding that profoundly influenced particle physics and cosmology.
-
D.
Donald F. Hornig
Donald F. Hornig was an American chemist and science advisor who served as a key presidential science counselor, notably to President Lyndon B. Johnson.
-
E.
Melvin Wydler
Melvin Wydler was a U.S. Congressman whose legislative work on technology and innovation policy led to a federal law being named in his honor.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b79fe8c08190b4a9e4812babc78e |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.