Triple
T6208396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tor Johnson |
E138805
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tor Johnson |
E138805
|
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: Tor Johnson | Statement: [Tor Johnson, name, Tor Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tor Johnson Context triple: [Tor Johnson, name, Tor Johnson]
-
A.
Tor Johnson
chosen
Tor Johnson was a Swedish-born professional wrestler and character actor best known for his roles in low-budget 1950s horror and science fiction films, particularly those directed by Ed Wood.
-
B.
Jake Johnson
Jake Johnson is an American actor and comedian best known for his role on the TV series "New Girl" and for voicing Peter B. Parker in the animated film "Spider-Man: Into the Spider-Verse."
-
C.
Gregg Johnson
Gregg Johnson is a fictional character appearing in the 1949 adventure film "Mighty Joe Young."
-
D.
Michael Pitts
Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
-
E.
Patrick Whitesell
Patrick Whitesell is a prominent American talent agent and entertainment executive, best known as a top leader and co-founder of the global media and talent representation company Endeavor.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062870d5881909b8d4e33ff31a907 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f52829c81909bdd422cbb1eabf4 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.