Triple
T14253842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three Doctors |
E353335
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Bob Baker |
E1084838
|
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: Bob Baker | Statement: [The Three Doctors, writer, Bob Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Baker Context triple: [The Three Doctors, writer, Bob Baker]
-
A.
Bob Baker
chosen
Bob Baker was a British television writer best known for his work on "Doctor Who" and for co-creating the character K9.
-
B.
Bob Baker
Bob Baker is a central character in the musical "Wonderful Town," portrayed as a journalist who becomes the love interest of one of the main sisters.
-
C.
Robert Baker
Robert Baker is an actor best known for playing the villainous Cobra Commander in the G.I. Joe film franchise.
-
D.
Alan Baker
Alan Baker was a British mathematician renowned for his groundbreaking work in number theory, particularly transcendental number theory, for which he received the Fields Medal in 1970.
-
E.
Alan Baker
Alan Baker is the charming, carefree bachelor protagonist of Neil Simon's comedy "Come Blow Your Horn," whose lifestyle and relationships drive the play's central conflicts and humor.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325c98288190ba035fb5cc5bcf6b |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.