Triple
T14805221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanie Thandiwe Newton |
E348014
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Norbit |
E477743
|
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: Norbit | Statement: [Melanie Thandiwe Newton, notableWork, Norbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norbit Context triple: [Melanie Thandiwe Newton, notableWork, Norbit]
-
A.
Norbit
chosen
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
-
B.
Odie
Odie is the lovable, dim-witted yellow dog from the Garfield franchise, known for his boundless energy, slobbery affection, and frequent role as Garfield’s hapless sidekick.
-
C.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
D.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
-
E.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:34 a.m.