Triple
T5694002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Magee |
E125491
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
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: [David Magee, basedOnWorkBy, Allan Knee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Knee Context triple: [David Magee, basedOnWorkBy, 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.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
E.
Brian Dutcher
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e7dbe48190850b501f223614e3 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a528a348190a7f6fd4cc3b76c92 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.