Triple
T10354041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celador Films |
E243951
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object |
Celador
Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
|
E857930
|
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: Celador | Statement: [Celador Films, parentOrganization, Celador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celador Context triple: [Celador Films, parentOrganization, Celador]
-
A.
Cadaval
Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
-
B.
Chaloub
Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
-
C.
Morlupo
Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
-
D.
Caporales
Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
-
E.
Caterinella
Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
- 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: Celador Triple: [Celador Films, parentOrganization, Celador]
Generated description
Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celador Target entity description: Celador is a British media company best known for creating the hit television game show "Who Wants to Be a Millionaire?".
-
A.
Cadaval
Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
-
B.
Chaloub
Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
-
C.
Morlupo
Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
-
D.
Caporales
Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
-
E.
Caterinella
Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750a30af88190b2ebf0daf758ed44 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618da0188190901026dd51ceaa46 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77045ea988190bd8e31f5f636f69b |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:58 a.m.