Triple
T4479302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman Klump |
E100087
|
entity |
| Predicate | hasFamilyMember |
P7844
|
FINISHED |
| Object | Cletus Klump |
E337014
|
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: Cletus Klump | Statement: [Sherman Klump, hasFamilyMember, Cletus Klump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cletus Klump Context triple: [Sherman Klump, hasFamilyMember, Cletus Klump]
-
A.
Cletus Klump
chosen
Cletus Klump is the jovial, gluttonous patriarch of the Klump family in the Nutty Professor film series, portrayed in heavy prosthetics by Eddie Murphy.
-
B.
Sherman Klump
Sherman Klump is the shy, obese, and kind-hearted university professor who becomes the central figure of the comedy film "The Nutty Professor."
-
C.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
D.
Marshall Flinkman
Marshall Flinkman is a quirky, brilliant tech expert and gadget inventor from the television series "Alias," known for providing high-tech support to the show's spies.
-
E.
Harry Dreyfuss
Harry Dreyfuss is an American writer and actor known for his essays, political commentary, and for speaking publicly about his experiences with harassment in the entertainment industry.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356db0a008190ad39b68efc095b8d |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62888ea508190a052c0b2edee7fca |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.