Triple
T8966172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernie Sabella |
E214138
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sabella
Sabella is the surname of American actor Ernie Sabella, best known as the voice of Pumbaa in Disney’s The Lion King franchise.
|
E769843
|
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: Sabella | Statement: [Ernie Sabella, familyName, Sabella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabella Context triple: [Ernie Sabella, familyName, Sabella]
-
A.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
B.
Yathella
Yathella is a rural locality within the Junee Shire local government area in New South Wales, Australia.
-
C.
Penelope bridgesi
Penelope bridgesi is a species of guan, a medium-sized arboreal game bird in the family Cracidae native to Neotropical forests.
-
D.
Blissenobiarella
Blissenobiarella is a character from Isaac Asimov’s Foundation universe, known as a member of the aristocracy on the planet Kalgan who becomes romantically involved with the Mule.
-
E.
Anesidora
Anesidora is an epithet of the Greek goddess Demeter that emphasizes her role as the giver of gifts, especially the bounty of the earth.
- 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: Sabella Triple: [Ernie Sabella, familyName, Sabella]
Generated description
Sabella is the surname of American actor Ernie Sabella, best known as the voice of Pumbaa in Disney’s The Lion King franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sabella Target entity description: Sabella is the surname of American actor Ernie Sabella, best known as the voice of Pumbaa in Disney’s The Lion King franchise.
-
A.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
B.
Yathella
Yathella is a rural locality within the Junee Shire local government area in New South Wales, Australia.
-
C.
Penelope bridgesi
Penelope bridgesi is a species of guan, a medium-sized arboreal game bird in the family Cracidae native to Neotropical forests.
-
D.
Blissenobiarella
Blissenobiarella is a character from Isaac Asimov’s Foundation universe, known as a member of the aristocracy on the planet Kalgan who becomes romantically involved with the Mule.
-
E.
Anesidora
Anesidora is an epithet of the Greek goddess Demeter that emphasizes her role as the giver of gifts, especially the bounty of the earth.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67623818819096aee155a9b43e8f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc95879c08190b0091548c8c00207 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb42e6ec8190b126163bf4472986 |
completed | April 3, 2026, 2:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcbba82e88190b40e9721c835fff0 |
completed | April 3, 2026, 2:16 p.m. |
Created at: March 30, 2026, 7:01 p.m.