Triple
T7437043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Holiday |
E171640
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Edward Burns |
E210497
|
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: Edward Burns | Statement: [The Holiday, castMember, Edward Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Burns Context triple: [The Holiday, castMember, Edward Burns]
-
A.
Edward Burns
chosen
Edward Burns is an American actor and filmmaker known for his roles in films like "Saving Private Ryan" and for writing and directing independent movies such as "The Brothers McMullen."
-
B.
Gil Bellows
Gil Bellows is a Canadian actor best known for his roles in films like The Shawshank Redemption and the television series Ally McBeal.
-
C.
Tim Healy
Tim Healy is an English actor best known for his comedic and dramatic television roles, particularly in popular British series.
-
D.
Tim Healy
Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
-
E.
Ed Begley
Ed Begley was an American character actor and Academy Award winner known for his prolific film, television, and stage work in the mid-20th century.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f349399c8190b46d5882ece2e73a |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278670bc819095bdbcc0837b6716 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:13 p.m.