Triple
T15099279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Girl in Town |
E360618
|
entity |
| Predicate | hasCharacterFromSource |
P72229
|
FINISHED |
| Object | Mat Burke |
E934470
|
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: Mat Burke | Statement: [New Girl in Town, hasCharacterFromSource, Mat Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mat Burke Context triple: [New Girl in Town, hasCharacterFromSource, Mat Burke]
-
A.
Mat Burke
chosen
Mat Burke is a central character in Eugene O’Neill’s play "Anna Christie," portrayed as a rugged Irish stoker whose passionate relationship with Anna drives much of the drama’s emotional conflict.
-
B.
Dave Burke
Dave Burke is a central character in the 1959 film noir "Odds Against Tomorrow," depicted as a former police officer who masterminds a high-stakes bank heist.
-
C.
Warren Burke
Warren Burke is an actor known for his role in the Western film "Dead for a Dollar."
-
D.
Sam Daly
Sam Daly is an American actor known for roles in film and television and as the son of actor Tim Daly.
-
E.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec2f35c8190a96af080cd7b6d0e |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 3:04 a.m.