Triple
T14678322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Schnetzer |
E344706
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pride |
E297158
|
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: Pride | Statement: [Ben Schnetzer, notableWork, Pride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pride Context triple: [Ben Schnetzer, notableWork, Pride]
-
A.
Pride
chosen
Pride is a 2014 British historical comedy-drama film about LGBT activists supporting striking miners in 1980s Wales.
-
B.
Pride
Pride is a secretive criminal organization of supervillain parents in Marvel’s Runaways who manipulate and control Los Angeles from the shadows.
-
C.
Pride
Pride is the collective name for the varsity athletic teams representing Regis College in intercollegiate sports.
-
D.
Pride
Pride is the athletic mascot and team identity of Springfield College, representing the school’s sports programs and community spirit.
-
E.
Pride
Pride is a central moral and psychological theme in Jane Austen’s "Pride and Prejudice," shaping characters’ judgments, relationships, and personal growth, especially that of Elizabeth Bennet and Mr. Darcy.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17e5a1c8190b1bf5565eab9d519 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.