Triple
T9746479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merton of the Movies |
E236321
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Marc Connelly |
E236321
|
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: Marc Connelly | Statement: [Merton of the Movies, author, Marc Connelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Connelly Context triple: [Merton of the Movies, author, Marc Connelly]
-
A.
Marc Connelly
chosen
Marc Connelly was an American playwright, director, and member of the Algonquin Round Table who won the Pulitzer Prize for Drama for "The Green Pastures."
-
B.
Andy Connell
Andy Connell is an English musician and composer best known as a member of the jazz-pop duo Swing Out Sister and for his earlier work in the post-punk and new wave scenes.
-
C.
Joe Connolly
Joe Connolly was a Major League Baseball outfielder best known for his role on the 1914 "Miracle" Boston Braves championship team.
-
D.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
-
E.
Kevin Connor
Kevin Connor is a film editor known for his work on the satirical World War I musical film "Oh! What a Lovely War."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f65ad788190b68d731b6f516d93 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3ff403c8190892400c6d3257087 |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:23 p.m.