Triple
T15035390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV Comic |
E378465
|
entity |
| Predicate | featuredCharacter |
P12208
|
FINISHED |
| Object |
Sooty
Sooty is a popular British glove puppet bear best known for starring in children’s television shows and stage acts featuring magic tricks and slapstick comedy.
|
E1133511
|
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: Sooty | Statement: [TV Comic, featuredCharacter, Sooty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sooty Context triple: [TV Comic, featuredCharacter, Sooty]
-
A.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
B.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
C.
Blaak
Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
-
D.
Coppins
Coppins is a historic country house and former royal residence located in Iver, Buckinghamshire, England.
-
E.
Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
- 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: Sooty Triple: [TV Comic, featuredCharacter, Sooty]
Generated description
Sooty is a popular British glove puppet bear best known for starring in children’s television shows and stage acts featuring magic tricks and slapstick comedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sooty Target entity description: Sooty is a popular British glove puppet bear best known for starring in children’s television shows and stage acts featuring magic tricks and slapstick comedy.
-
A.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
B.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
C.
Blaak
Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
-
D.
Coppins
Coppins is a historic country house and former royal residence located in Iver, Buckinghamshire, England.
-
E.
Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f58e39081909be07cda05484fb3 |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9ff62eb081908e170e099c99283b |
completed | May 9, 2026, 2:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.