Triple
T15908959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryn Okada |
E385795
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Stick It |
E169655
|
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: Stick It | Statement: [Daryn Okada, notableWork, Stick It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stick It Context triple: [Daryn Okada, notableWork, Stick It]
-
A.
Stick It
chosen
Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
-
B.
The Stick
The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
-
C.
The Stick
The Stick is a notable work by Canadian sculptor George Stanley, best known for designing the iconic Canadian national flag.
-
D.
The Stick
The Stick is a South African horror film directed by Darrell Roodt that explores the psychological toll of apartheid-era military conflict.
-
E.
Sticks & Stones
Sticks & Stones is a 2019 stand-up comedy special by Dave Chappelle known for its provocative, boundary-pushing material and controversial social commentary.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.