Triple
T14653383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghoulies |
E344047
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jonathan Graves |
E1111996
|
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: Jonathan Graves | Statement: [Ghoulies, character, Jonathan Graves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Graves Context triple: [Ghoulies, character, Jonathan Graves]
-
A.
Jonathan Graves
chosen
Jonathan Graves is the protagonist of the 1985 horror-comedy film "Ghoulies," a young man who unwittingly unleashes demonic creatures while dabbling in occult rituals.
-
B.
Randal Graves
Randal Graves is a sarcastic, irreverent video store clerk and one of the central comedic antiheroes in Kevin Smith’s Clerks franchise.
-
C.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
-
D.
Ralph Graves
Ralph Graves was an American film actor prominent in the silent and early sound eras, often appearing in action and drama films of the 1920s and 1930s.
-
E.
John Grandy
John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17283608190a8351b366cac5e4f |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.