Triple
T15273075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brise-Glace |
E365067
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Dylan Posa |
E1141564
|
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: Dylan Posa | Statement: [Brise-Glace, hasMember, Dylan Posa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Posa Context triple: [Brise-Glace, hasMember, Dylan Posa]
-
A.
Dylan Posa
chosen
Dylan Posa is a musician best known as a former member of the experimental rock band Cheer-Accident.
-
B.
Drake Sather
Drake Sather was an American stand-up comedian and television writer best known for co-creating the character that inspired the film "Zoolander."
-
C.
Dylan Strome
Dylan Strome is a Canadian professional ice hockey center who was a high NHL draft pick and has played for teams including the Arizona Coyotes, Chicago Blackhawks, and Washington Capitals.
-
D.
Trent Opaloch
Trent Opaloch is a Canadian cinematographer known for his frequent collaborations with directors like the Russo brothers and Neill Blomkamp on major films such as Captain America: The Winter Soldier and District 9.
-
E.
Cameron Howe
Cameron Howe is a brilliant, rebellious computer programmer and visionary in the tech industry, best known as a central character in the television series "Halt and Catch Fire."
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef895f9708190a44ee7ade1c46a7d |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:14 a.m.