Triple
T21368075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Karlin |
E526973
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Alfie |
—
|
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: Alfie | Statement: [Miriam Karlin, notableWork, Alfie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfie Context triple: [Miriam Karlin, notableWork, Alfie]
-
A.
Alfie
Alfie is a diminutive given name, commonly used in English-speaking countries, derived from the name Alfred.
-
B.
Alfie
chosen
"Alfie" is a classic 1966 pop song, with music by Burt Bacharach and lyrics by Hal David, best known as the reflective theme from the film of the same name.
-
C.
Alfie
Alfie is a song by the English indie rock band Arctic Monkeys from their debut album "Whatever People Say I Am, That's What I'm Not."
-
D.
Alfie
Alfie is a notable work associated with Hylda Tafler, recognized enough to be highlighted in relation to her career.
-
E.
Alfie (2004 film)
Alfie (2004 film) is a 2004 romantic comedy-drama and remake of the 1966 film, starring Jude Law as a charming but emotionally detached womanizer in New York City.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.