Triple
T3672654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghostbusters |
E77914
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Rick Moranis |
E270496
|
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: Rick Moranis | Statement: [Ghostbusters, hasCastMember, Rick Moranis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Moranis Context triple: [Ghostbusters, hasCastMember, Rick Moranis]
-
A.
Rick Moranis
chosen
Rick Moranis is a Canadian actor and comedian best known for his roles in films such as Ghostbusters, Honey, I Shrunk the Kids, and Spaceballs.
-
B.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
-
C.
Martin Short
Martin Short is a Canadian-American comedian and actor renowned for his energetic characters and work on sketch comedy shows, films, and Broadway.
-
D.
David Koechner
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
E.
Dana Carvey
Dana Carvey is an American comedian and actor best known for his work on Saturday Night Live and his role as Garth Algar in the film "Wayne's World."
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4dafd43b081908c7ff89e0f55bb5a |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:25 p.m.