Triple
T5320240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Drake |
E121654
|
entity |
| Predicate | pseudonym |
P39
|
FINISHED |
| Object | Tom Drake |
E121654
|
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: Tom Drake | Statement: [Tom Drake, pseudonym, Tom Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Drake Context triple: [Tom Drake, pseudonym, Tom Drake]
-
A.
Tom Drake
chosen
Tom Drake was an American film and television actor best known for his role as "The Boy Next Door" opposite Judy Garland in the classic 1944 musical Meet Me in St. Louis.
-
B.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
-
C.
Dr. Clayton Forrester
Dr. Clayton Forrester is the heroic scientist protagonist who leads the human response to the Martian invasion in the 1953 science fiction film "The War of the Worlds."
-
D.
Charles Holden
Charles Holden was a prominent 20th-century British architect best known for his modernist designs of London Underground stations and public buildings.
-
E.
Dedalus Diggle
Dedalus Diggle is a minor wizarding character in the Harry Potter series, known as an enthusiastic supporter of Albus Dumbledore and the fight against Voldemort.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b8692881908f04d8cfd7d3d10d |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:59 p.m.