Triple
T15798602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Make-Up |
E383043
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Brendan Canty |
E1191694
|
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: Brendan Canty | Statement: [The Make-Up, hasMember, Brendan Canty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brendan Canty Context triple: [The Make-Up, hasMember, Brendan Canty]
-
A.
Brendan Canty
Brendan Canty is a filmmaker and music video director known for creating visually striking, narrative-driven videos for contemporary artists.
-
B.
Brendan Canty
chosen
Brendan Canty is an American drummer and producer best known for his work with the influential post-hardcore band Fugazi and his contributions to the Washington, D.C. punk scene.
-
C.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
-
D.
Brendan Donohue
Brendan Donohue is a sports executive best known for serving as the inaugural commissioner of the NBA 2K League, the NBA’s professional esports league.
-
E.
Brendan Conlon
Brendan Conlon is a high school teacher and former mixed martial artist who returns to the cage to support his struggling family in the sports drama film "Warrior."
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e00d348190bc98917c4098ec2f |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe469012481908fd9955c72e756a3 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:48 a.m.