Triple
T6051779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grinch (2018 film) |
E134811
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Donna Who
Donna Who is a resident of Whoville and the caring single mother of Cindy-Lou Who in the 2018 animated film "The Grinch."
|
E564662
|
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: Donna Who | Statement: [The Grinch (2018 film), characterPortrayed, Donna Who]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Who Context triple: [The Grinch (2018 film), characterPortrayed, Donna Who]
-
A.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
-
B.
Juno MacGuff
Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
-
C.
Donna Noble
Donna Noble is a quick-witted, outspoken temp from Chiswick who becomes one of the Tenth Doctor’s most important and emotionally impactful companions in the modern Doctor Who series.
-
D.
Petronella Osgood
Petronella Osgood is a scientific advisor to UNIT in the Doctor Who universe, known for her intelligence, dedication, and admiration for the Doctor.
-
E.
Isolde Denham
Isolde Denham was a British actress and the first wife of actor, writer, and filmmaker Peter Ustinov.
- 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: Donna Who Triple: [The Grinch (2018 film), characterPortrayed, Donna Who]
Generated description
Donna Who is a resident of Whoville and the caring single mother of Cindy-Lou Who in the 2018 animated film "The Grinch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donna Who Target entity description: Donna Who is a resident of Whoville and the caring single mother of Cindy-Lou Who in the 2018 animated film "The Grinch."
-
A.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
-
B.
Juno MacGuff
Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
-
C.
Donna Noble
Donna Noble is a quick-witted, outspoken temp from Chiswick who becomes one of the Tenth Doctor’s most important and emotionally impactful companions in the modern Doctor Who series.
-
D.
Petronella Osgood
Petronella Osgood is a scientific advisor to UNIT in the Doctor Who universe, known for her intelligence, dedication, and admiration for the Doctor.
-
E.
Isolde Denham
Isolde Denham was a British actress and the first wife of actor, writer, and filmmaker Peter Ustinov.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f802988190aafdb7cbb087c828 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a911548190b4269d094f65308d |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c11423d05c81909298ae598c80ccb0 |
completed | March 23, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11498f2948190bcca6b8054186e75 |
completed | March 23, 2026, 10:23 a.m. |
Created at: March 22, 2026, 4:09 p.m.