Triple
T656365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Thirlby |
E11657
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Wackness |
E82088
|
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: The Wackness | Statement: [Olivia Thirlby, appearedIn, The Wackness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wackness Context triple: [Olivia Thirlby, appearedIn, The Wackness]
-
A.
The Wackness
chosen
The Wackness is a 2008 coming-of-age dramedy film set in 1990s New York City, following a teenage drug dealer who trades weed for therapy sessions with his eccentric psychiatrist.
-
B.
Shut Up
"Shut Up" is a 2003 pop and R&B-influenced single by the Black Eyed Peas that became one of their early international hits.
-
C.
It's Bad for Ya
"It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
-
D.
White Chicks
White Chicks is a 2004 American comedy film in which two Black FBI agents go undercover as white socialite sisters, known for its over-the-top humor and cultural impact.
-
E.
Misfit
Misfit is a wearable technology and fitness-tracking brand known for its minimalist activity trackers and smartwatches.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4e87408190b5276d2b913d0426 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3925a14819093336c4217c7e893 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.