Triple
T18809352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Meehan |
E459965
|
entity |
| Predicate | coWroteWith |
P2389
|
FINISHED |
| Object | Mark O'Donnell |
—
|
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: Mark O'Donnell | Statement: [Thomas Meehan, coWroteWith, Mark O'Donnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark O'Donnell Context triple: [Thomas Meehan, coWroteWith, Mark O'Donnell]
-
A.
Mark O’Donnell
chosen
Mark O’Donnell was an American playwright and humorist best known as the co-writer of the Tony Award–winning musical adaptation of John Waters’ film "Hairspray."
-
B.
Jim O’Doherty
Jim O’Doherty is an American television writer and producer known for creating and working on various youth-oriented comedy series.
-
C.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
-
D.
Mark O’Connor
Mark O’Connor is a cinematographer known for his work on documentary and feature films, including the 2015 documentary "This Changes Everything."
-
E.
Mark O'Rowe
Mark O'Rowe is an Irish playwright, screenwriter, and director known for his gritty, character-driven works in theatre and film.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3db38ec8190ab5bef15bc6789be |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.