Triple
T16386682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Barrett |
E397940
|
entity |
| Predicate | neighborOf |
P350
|
FINISHED |
| Object | Louis Tully |
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 | Statement: [Dana Barrett, neighborOf, Louis Tully]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Tully Context triple: [Dana Barrett, neighborOf, Louis Tully]
-
A.
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.
-
B.
William Mulloy
William Mulloy was an American archaeologist best known for his pioneering restoration and conservation work on the moai and ceremonial sites of Easter Island (Rapa Nui).
-
C.
George Shively
George Shively was an early 20th-century Negro league outfielder known for his speed, strong defense, and key role on several prominent Black baseball teams.
-
D.
Eugene Roche
Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
-
E.
Charles Coleman
Charles Coleman was an Australian-born character actor known for his frequent roles as butlers and valets in numerous Hollywood films during the early to mid-20th century.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170db6c6881908f5670c8282f4097 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:08 a.m.