Triple
T1498062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jude Law |
E29731
|
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: [Jude Law, notableWork, Alfie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfie Context triple: [Jude Law, 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.
About a Boy
About a Boy is a 2002 British-American comedy-drama film, based on Nick Hornby’s novel, about an immature bachelor whose life changes when he befriends a lonely young boy.
-
D.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
-
E.
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.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ef5ce88190a6b520525a6d42a3 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1caf8b288190b428cf903db2c107 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.