Triple
T19544800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew V. McLaglen |
E489014
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McLaglen |
—
|
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: McLaglen | Statement: [Andrew V. McLaglen, familyName, McLaglen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McLaglen Context triple: [Andrew V. McLaglen, familyName, McLaglen]
-
A.
McLaglen
chosen
McLaglen is the surname of a family of actors most notably associated with British-American character actor Victor McLaglen, known for his roles in classic Hollywood films.
-
B.
Jack MacGowran
Jack MacGowran was an Irish character actor known for his work in British and American films and for his acclaimed performances in Samuel Beckett’s plays.
-
C.
Macgowan
Macgowan is a Scottish-origin surname borne by various notable individuals, including figures in the arts and public life.
-
D.
John Behan
John Behan is an Irish sculptor renowned for his powerful bronze works that often explore themes of history, migration, and national memory.
-
E.
Michael Hugh
Michael Hugh is a personal name that may refer to multiple individuals, requiring context to distinguish it from similarly named people such as Michael Pugh.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63875cf40819088db7c7969be1e3d |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.