Triple
T22495947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicky Lathum |
E556140
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Michelle Flaherty |
—
|
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: Michelle Flaherty | Statement: [Vicky Lathum, hasFriend, Michelle Flaherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Flaherty Context triple: [Vicky Lathum, hasFriend, Michelle Flaherty]
-
A.
Michelle Flaherty
chosen
Michelle Flaherty is a central comedic character in the American Pie film series, known for her quirky, enthusiastic personality and memorable one-liners.
-
B.
Eileen Mulvaney
Eileen Mulvaney is a fictional character named Eileen, likely featured in a narrative work such as a novel, film, or television series.
-
C.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
D.
Kathleen Walsh
Kathleen Walsh, better known professionally as Kay Walsh, was a British actress and dancer prominent in mid-20th-century film and theatre.
-
E.
Christine Kelly
Christine Kelly is the wife of American filmmaker Abel Ferrara, known for her association with his life and career.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.