Triple
T1342636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionne Warwick |
E28499
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Alfie |
E140479
|
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: [Dionne Warwick, notableWork, Alfie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfie Context triple: [Dionne Warwick, notableWork, Alfie]
-
A.
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.
-
B.
Alfie
Alfie is a diminutive given name, commonly used in English-speaking countries, derived from the name Alfred.
-
C.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
-
D.
Kinder Downfall
Kinder Downfall is a notable waterfall on the Kinder Scout plateau in the Peak District, known for its dramatic windswept spray that can sometimes blow the water back upwards.
-
E.
Dolittle
Dolittle is a 2020 fantasy adventure film in which Robert Downey Jr. stars as the eccentric doctor who can talk to animals, based on Hugh Lofting’s classic character.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc632cbc88190a64897f1b101c699 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:56 p.m.