Triple
T22918994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondelez International |
E568804
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Halls |
—
|
NE NERFINISHED |
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: Halls | Statement: [Mondelez International, brand, Halls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halls Context triple: [Mondelez International, brand, Halls]
-
A.
Halls
chosen
Halls is a popular brand of mentholated cough drops and throat lozenges sold worldwide.
-
B.
Halls
Halls is a surname of English origin borne by various notable individuals across fields such as sports, arts, and public life.
-
C.
The Hall
The Hall is the popular nickname for Calihan Hall, an indoor arena on the University of Detroit Mercy campus known primarily as the home of the Titans basketball program.
-
D.
The Hall
The Hall is an English country estate historically associated with the baronetcy of Sir Robert Montgomery, 1st Baronet.
-
E.
Kit Halls
Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:42 p.m.