Triple
T16161616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo (2023 film) |
E392192
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Heidi Gardner |
—
|
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: Heidi Gardner | Statement: [Leo (2023 film), hasCastMember, Heidi Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heidi Gardner Context triple: [Leo (2023 film), hasCastMember, Heidi Gardner]
-
A.
Heidi Gardner
chosen
Heidi Gardner is an American comedian and actress best known as a cast member on "Saturday Night Live."
-
B.
Heidi Henderson
Heidi Henderson is known as the former spouse of the late American actor William Hurt.
-
C.
Nikki Gardner
Nikki Gardner is a fictional character from the American sitcom "The Exes," which follows the lives and relationships of divorced men sharing an apartment.
-
D.
Jenny Gardner
Jenny Gardner is a fictional character from the soap opera "All My Children," known for her tumultuous relationships and dramatic storylines in Pine Valley.
-
E.
Heidi Rodewald
Heidi Rodewald is an American composer, bassist, and songwriter best known for her collaborative work in theater and music, including co-creating the rock musical "Passing Strange."
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.