Triple
T13185667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Caine |
E313841
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Alfie |
E1011672
|
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: Alfie | Statement: [Michael Caine, notableWork, Alfie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfie Context triple: [Michael Caine, notableWork, Alfie]
-
A.
Alfie
Alfie is a diminutive given name, commonly used in English-speaking countries, derived from the name Alfred.
-
B.
Alfie
"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 (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.
-
D.
Alfie (1966 film)
chosen
Alfie (1966 film) is a 1966 British romantic comedy-drama starring Michael Caine as a charming yet morally conflicted womanizer in swinging London.
-
E.
Alfy
Alfy is a given name, typically used as a diminutive or variant of names like Alfred or Alfie.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4b663c8190b0b18f0785f7b57d |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f7a304819081c4f51631948cbd |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:15 p.m.