Triple
T9416799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Smecker |
E227042
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Connor MacManus |
E241561
|
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: Connor MacManus | Statement: [Paul Smecker, associatedWith, Connor MacManus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connor MacManus Context triple: [Paul Smecker, associatedWith, Connor MacManus]
-
A.
Connor MacManus
chosen
Connor MacManus is one of the twin Irish vigilante brothers who serve as central protagonists in the cult action film "The Boondock Saints."
-
B.
Simon O’Connor
Simon O’Connor is a musician known for his role in the American indie rock band Modest Mouse.
-
C.
Ian Mackley
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
D.
Sean McKittrick
Sean McKittrick is an American film producer known for his work on acclaimed and genre-defining films such as "BlacKkKlansman," "Get Out," and "Donnie Darko."
-
E.
Joe Connolly
Joe Connolly was a Major League Baseball outfielder best known for his role on the 1914 "Miracle" Boston Braves championship team.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cb4be08190a47f901a9703f9db |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15261b31881908c1059d704e56bf6 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:48 p.m.