Triple
T16744769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Tully |
E406923
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Louis Tully Accounting |
E406923
|
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: Louis Tully Accounting | Statement: [Louis Tully, employer, Louis Tully Accounting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Tully Accounting Context triple: [Louis Tully, employer, Louis Tully Accounting]
-
A.
Tom Tully
Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
-
B.
Louis Tully
chosen
Louis Tully is a nerdy, well-meaning accountant and neighbor of Dana Barrett who becomes a comedic, possessed pawn of Gozer in the Ghostbusters films.
-
C.
Dan Tullis Jr.
Dan Tullis Jr. is an American actor best known for his role as Officer Dan on the sitcom "Married... with Children" and for appearances in various films and television series.
-
D.
Terry Jenoure
Terry Jenoure is an American jazz violinist, vocalist, and composer known for her work in avant-garde and experimental music.
-
E.
Terry Lyons
Terry Lyons is a prominent British mathematician known for his influential work in stochastic analysis and rough path theory.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa210ef88190be74bd60d7144953 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51e69c08190a5bff74823df430c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.