Triple
T18072661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Dano |
E432468
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The 7 Faces of Dr. Lao |
—
|
NE NERFINISHED |
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: The 7 Faces of Dr. Lao | Statement: [Royal Dano, notableWork, The 7 Faces of Dr. Lao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The 7 Faces of Dr. Lao Context triple: [Royal Dano, notableWork, The 7 Faces of Dr. Lao]
-
A.
The Seven Faces of Dr. Lao
chosen
The Seven Faces of Dr. Lao is a 1964 fantasy-comedy film about a mysterious Chinese showman whose magical circus transforms a small Western town and its inhabitants.
-
B.
Crazy Face
"Crazy Face" is a song featured on Van Morrison's 1970 album *His Band and the Street Choir*.
-
C.
Gummo
Gummo is a 1997 experimental drama film directed by Harmony Korine, known for its disturbing, fragmented portrayal of life in a tornado-ravaged Ohio town.
-
D.
Gummo
Gummo is a breakout 2017 single by American rapper Tekashi 6ix9ine known for its aggressive style and viral success.
-
E.
Palooka
Palooka is a 1934 American comedy film based on the popular comic strip about a naive but talented boxer, starring Jimmy Durante and Lupe Vélez.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.