Triple
T10588334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Peter McDonald Clary |
E249913
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Prickly Heat
Prickly Heat is a British television comedy series featuring Julian Clary’s characteristic camp, risqué humor and sharp wit.
|
E872084
|
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: Prickly Heat | Statement: [Julian Peter McDonald Clary, notableWork, Prickly Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prickly Heat Context triple: [Julian Peter McDonald Clary, notableWork, Prickly Heat]
-
A.
El Milia
El Milia is a town and commune in northeastern Algeria known as one of the main urban centers of Jijel Province.
-
B.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
C.
Hives
Hives is a surname most notably associated with Ernest Hives, a prominent British engineer and former chairman of Rolls-Royce.
-
D.
Wart
Wart is the main villain and final boss of Super Mario Bros. 2, a frog-like king who uses magic and vegetables as weapons against the player.
-
E.
Soldier’s Lump
Soldier’s Lump is the rounded summit of Black Hill in the Black Mountains on the England–Wales border, known as a trig point and landmark for walkers on the high moorland ridge.
- 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: Prickly Heat Triple: [Julian Peter McDonald Clary, notableWork, Prickly Heat]
Generated description
Prickly Heat is a British television comedy series featuring Julian Clary’s characteristic camp, risqué humor and sharp wit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prickly Heat Target entity description: Prickly Heat is a British television comedy series featuring Julian Clary’s characteristic camp, risqué humor and sharp wit.
-
A.
El Milia
El Milia is a town and commune in northeastern Algeria known as one of the main urban centers of Jijel Province.
-
B.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
C.
Hives
Hives is a surname most notably associated with Ernest Hives, a prominent British engineer and former chairman of Rolls-Royce.
-
D.
Wart
Wart is the main villain and final boss of Super Mario Bros. 2, a frog-like king who uses magic and vegetables as weapons against the player.
-
E.
Soldier’s Lump
Soldier’s Lump is the rounded summit of Black Hill in the Black Mountains on the England–Wales border, known as a trig point and landmark for walkers on the high moorland ridge.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527793c588190bfe3a5261eb7f919 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b9440548190bff01847a940266b |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94ca13550819085b7824d8b5131e7 |
completed | April 10, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9518517608190b5036694b83f5f58 |
completed | April 10, 2026, 7:37 p.m. |
Created at: April 6, 2026, 12:40 p.m.