Triple
T20140633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Days (2018 film) |
E491152
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object | Thomas Lennon |
—
|
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: Thomas Lennon | Statement: [Dog Days (2018 film), mainCastMember, Thomas Lennon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Lennon Context triple: [Dog Days (2018 film), mainCastMember, Thomas Lennon]
-
A.
Thomas Lennon
chosen
Thomas Lennon is an American actor, comedian, and screenwriter known for co-writing hit comedy films such as the "Night at the Museum" series and for his role on the TV show "Reno 911!".
-
B.
Hugh McDermott
Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
-
C.
John McNulta
John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
-
D.
Johnny Loughran
Johnny Loughran is the energetic, easygoing human who becomes Dracula’s son-in-law and a central comedic character in the Hotel Transylvania animated film series.
-
E.
John Ronane
John Ronane was a British actor known for his work in film, television, and theatre, including a role in the drama "Elizabeth R."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.