Triple
T20876932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (1994 film) |
E514040
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Allan Knee |
—
|
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: Allan Knee | Statement: [Little Women (1994 film), storyBy, Allan Knee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Knee Context triple: [Little Women (1994 film), storyBy, Allan Knee]
-
A.
Allan Knee
chosen
Allan Knee is an American playwright and screenwriter best known for creating the stage play that inspired the film "Finding Neverland."
-
B.
Allan Carpenter
Allan Carpenter is a fictional character best known as the protagonist of the time-travel novel "The Door into Summer" by Robert A. Heinlein.
-
C.
Allan Little
Allan Little is a British journalist and former BBC correspondent known for his in-depth reporting on international conflicts and political affairs.
-
D.
Doug Allan
Doug Allan is a renowned British wildlife cameraman and cinematographer, particularly celebrated for his work on marine and polar documentaries.
-
E.
Allan Cooke
Allan Cooke was a founder associated with the establishment and early development of the town of Cookstown.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6767ec0819080721e2e75bd0d66 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.