Triple
T4479311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman Klump |
E100087
|
entity |
| Predicate | romanticallyInvolvedWith |
P9994
|
FINISHED |
| Object |
Carla Purty
Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
|
E453645
|
NE FINISHED |
How this triple was built (4 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: Carla Purty | Statement: [Sherman Klump, romanticallyInvolvedWith, Carla Purty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carla Purty Context triple: [Sherman Klump, romanticallyInvolvedWith, Carla Purty]
-
A.
Carla Natalie Barnett
Carla Natalie Barnett is a Belizean economist and politician who became the first woman to serve as Secretary-General of the Caribbean Community (CARICOM).
-
B.
Carlene Watkins
Carlene Watkins is an American television actress known for her roles in various sitcoms and TV series from the late 1970s onward.
-
C.
Carla Sinclair
Carla Sinclair is an American writer and editor best known as a co-founder of the influential technology and culture blog Boing Boing.
-
D.
Carla Leone
Carla Leone was the wife of renowned Italian film director Sergio Leone.
-
E.
Carla Mann
Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carla Purty Triple: [Sherman Klump, romanticallyInvolvedWith, Carla Purty]
Generated description
Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carla Purty Target entity description: Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
-
A.
Carla Natalie Barnett
Carla Natalie Barnett is a Belizean economist and politician who became the first woman to serve as Secretary-General of the Caribbean Community (CARICOM).
-
B.
Carlene Watkins
Carlene Watkins is an American television actress known for her roles in various sitcoms and TV series from the late 1970s onward.
-
C.
Carla Sinclair
Carla Sinclair is an American writer and editor best known as a co-founder of the influential technology and culture blog Boing Boing.
-
D.
Carla Leone
Carla Leone was the wife of renowned Italian film director Sergio Leone.
-
E.
Carla Mann
Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
- F. None of above. chosen
Provenance (5 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_69bdd36a7c9c81908f325bc8a53db0c8 |
completed | March 20, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69bdd500b0088190abf6c7616a379f5c |
completed | March 20, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd563a7fc8190a7091add8ef0e717 |
completed | March 20, 2026, 11:16 p.m. |
Created at: March 12, 2026, 11:35 p.m.