Triple
T10919305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (musical) |
E257903
|
entity |
| Predicate | hasBookWriter |
P4244
|
FINISHED |
| Object | Allan Knee |
E514040
|
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: Allan Knee | Statement: [Little Women (musical), hasBookWriter, Allan Knee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Knee Context triple: [Little Women (musical), hasBookWriter, 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 Little
Allan Little is a British journalist and former BBC correspondent known for his in-depth reporting on international conflicts and political affairs.
-
C.
Allan Burns
Allan Burns was an American television writer and producer best known for co-creating influential sitcoms such as The Mary Tyler Moore Show.
-
D.
Allan Jones
Allan Jones was an American actor and tenor best known for his musical film roles in the 1930s, particularly in classic Marx Brothers comedies.
-
E.
Mitch Allee
Mitch Allee is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77080317881909fc50ac3576cefa8 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.