Triple
T5509843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Pleasence |
E144534
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Dr. Sam Loomis |
E421283
|
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: Dr. Sam Loomis | Statement: [Donald Pleasence, portrayed, Dr. Sam Loomis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Sam Loomis Context triple: [Donald Pleasence, portrayed, Dr. Sam Loomis]
-
A.
Sam Loomis
chosen
Sam Loomis is a central character in Alfred Hitchcock's classic horror film "Psycho," known as Marion Crane's boyfriend who becomes involved in investigating her disappearance.
-
B.
Silas Laurence Loomis
Silas Laurence Loomis was a 19th-century American physician, inventor, and educator known for his contributions to medical science and technological innovation.
-
C.
Ray Stantz
Ray Stantz is a passionate, good-natured paranormal investigator and founding member of the Ghostbusters team, known for his childlike enthusiasm and deep knowledge of the supernatural.
-
D.
Egon
Egon is a masculine given name of German origin, notably borne by several European politicians, artists, and intellectuals.
-
E.
Michael Ripps
Michael Ripps is a film editor known for his work on the movie "Stakeout."
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4ba90c8190ad22e5de84c545f9 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c93a248190af0b352bb7a815b8 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:33 p.m.