Triple
T18414331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadbury Schweppes |
E441847
|
entity |
| Predicate | brandOwned |
P6092
|
FINISHED |
| Object |
Halls
Halls is a popular brand of mentholated cough drops and throat lozenges sold worldwide.
|
E1322864
|
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: Halls | Statement: [Cadbury Schweppes, brandOwned, Halls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halls Context triple: [Cadbury Schweppes, brandOwned, Halls]
-
A.
Kit Halls
Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
B.
Hall H
Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
-
C.
Hall K
Hall K is a concourse area within Paris-Charles de Gaulle Airport that serves as a departure zone for long-haul international flights and hosts premium airline lounges.
-
D.
Pink Hall
Pink Hall is a notable chamber within Slovakia’s Demänovská Cave of Liberty, distinguished by its striking pink-hued speleothems and scenic underground formations.
-
E.
Hall 6
Hall 6 is one of the exhibition and event halls within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
- 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: Halls Triple: [Cadbury Schweppes, brandOwned, Halls]
Generated description
Halls is a popular brand of mentholated cough drops and throat lozenges sold worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halls Target entity description: Halls is a popular brand of mentholated cough drops and throat lozenges sold worldwide.
-
A.
Kit Halls
Kit Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
B.
Hall H
Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
-
C.
Hall K
Hall K is a concourse area within Paris-Charles de Gaulle Airport that serves as a departure zone for long-haul international flights and hosts premium airline lounges.
-
D.
Pink Hall
Pink Hall is a notable chamber within Slovakia’s Demänovská Cave of Liberty, distinguished by its striking pink-hued speleothems and scenic underground formations.
-
E.
Hall 6
Hall 6 is one of the exhibition and event halls within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24df9c08190af07a90f394bfc06 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e6ca2b088190be240bbfe131d9d4 |
completed | May 13, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e71c8e9881909000ee5855afbd1d |
completed | May 13, 2026, 2:51 a.m. |
Created at: April 10, 2026, 10:47 a.m.