Triple
T20361066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Heart Huckabees |
E496780
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Isla Fisher |
—
|
NE NERFINISHED |
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: Isla Fisher | Statement: [I Heart Huckabees, castMember, Isla Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isla Fisher Context triple: [I Heart Huckabees, castMember, Isla Fisher]
-
A.
Isla Fisher
chosen
Isla Fisher is an Australian actress and author known for her comedic roles in films such as "Wedding Crashers," "Confessions of a Shopaholic," and "Now You See Me."
-
B.
Leslie Mann
Leslie Mann is an American actress known for her comedic and dramatic roles in films such as "The 40-Year-Old Virgin," "Knocked Up," and "This Is 40."
-
C.
Owen Wilson
Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
-
D.
Owen Wilson
Owen Wilson is an Australian business executive best known as the CEO of REA Group, a leading digital real estate company.
-
E.
Mattias Ferrell
Mattias Ferrell is one of the sons of American actor and comedian Will Ferrell.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.