Triple
T21600141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monster Squad |
E533013
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Stan Shaw |
—
|
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: Stan Shaw | Statement: [The Monster Squad, stars, Stan Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Shaw Context triple: [The Monster Squad, stars, Stan Shaw]
-
A.
Stan Shaw
chosen
Stan Shaw is an American character actor known for his roles in films such as "Harlem Nights," "Rocky," and "The Boys in Company C."
-
B.
Tom Shaw
Tom Shaw is a central character in Louisa May Alcott’s novel "An Old-Fashioned Girl," portrayed as a kind but initially worldly young man whose growth and changing values mirror the story’s moral themes.
-
C.
Adam Shaw
Adam Shaw is the son of American playwright and novelist Irwin Shaw.
-
D.
Frank Shaw
Frank Shaw is an individual known primarily as the child of Mrs. Shaw, though further widely recognized biographical details are not specified.
-
E.
Will Shaw
Will Shaw is the protagonist of the 2012 action thriller film "The Cold Light of Day," in which he becomes embroiled in a dangerous conspiracy while trying to rescue his kidnapped family in Spain.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e12fdc8190ab6125ea8d294717 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:32 p.m.