Triple
T9629320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Raskin |
E232555
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | Slither |
E313072
|
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: Slither | Statement: [Fred Raskin, edited, Slither]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slither Context triple: [Fred Raskin, edited, Slither]
-
A.
Slither
chosen
Slither is a 2006 horror-comedy film that blends grotesque alien invasion elements with dark humor and cult-movie sensibilities.
-
B.
Slither
Slither is a 1973 American crime-comedy film known for its offbeat humor and ensemble cast, including Louise Lasser and James Caan.
-
C.
Schlangen
Schlangen is a small municipality in the Lippe district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the Teutoburg Forest.
-
D.
Lagarto
Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
-
E.
The Snakes
The Snakes is a subgroup affiliated with the Brooklyn hip-hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b00162481908f396f6b6e470d6c |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17987e4008190a8d43641072a1c86 |
completed | April 4, 2026, 8:50 p.m. |
Created at: March 30, 2026, 8:10 p.m.