Triple
T13174849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slither |
E313072
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Grant Grant |
E748994
|
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: Grant Grant | Statement: [Slither, character, Grant Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Grant Context triple: [Slither, character, Grant Grant]
-
A.
Grant Grant
chosen
Grant Grant is a fictional character best known as the parasitically infected antagonist in the horror-comedy film "Slither."
-
B.
Red Grant
Red Grant is a ruthless, psychopathic assassin and primary antagonist in the James Bond franchise, most prominently appearing as SPECTRE’s top killer in the film and novel "From Russia, with Love."
-
C.
Stan Grant Jr.
Stan Grant Jr. is an Australian journalist, author, and television presenter known for his reporting on Indigenous issues and global affairs.
-
D.
Arthur Grant
Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
-
E.
Grant Grove
Grant Grove is a renowned grove of giant sequoia trees in California’s Sierra Nevada, best known as the home of the General Grant Tree, one of the largest trees on Earth.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c303e3c819086cf0f0b6d9e61ca |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafe03c48190992df41f77fb043e |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:14 p.m.