Triple
T733668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack |
E14882
|
entity |
| Predicate | featuredInWork |
P626
|
FINISHED |
| Object |
Jack Sprat
"Jack Sprat" is an English nursery rhyme character best known for the verse about a man who could eat no fat and his wife who could eat no lean.
|
E89310
|
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: Jack Sprat | Statement: [Jack, featuredInWork, Jack Sprat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Sprat Context triple: [Jack, featuredInWork, Jack Sprat]
-
A.
Little Jack Horner
Little Jack Horner is a traditional English nursery rhyme character best known for pulling a plum out of a Christmas pie with his thumb.
-
B.
Goosefat Bill
Goosefat Bill is a roguish, sharp-tongued ally of Arthur and skilled fighter in the fantasy action film "King Arthur: Legend of the Sword."
-
C.
Charlie the cook
Charlie the cook is a supporting character in the 1933 adventure film "Son of Kong," serving as the ship’s cook and providing comic relief during the expedition.
-
D.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
-
E.
Uncle Fred
Uncle Fred is a mischievous, quick-witted aristocrat and recurring comic hero in P. G. Wodehouse’s humorous stories.
- 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: Jack Sprat Triple: [Jack, featuredInWork, Jack Sprat]
Generated description
"Jack Sprat" is an English nursery rhyme character best known for the verse about a man who could eat no fat and his wife who could eat no lean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Sprat Target entity description: "Jack Sprat" is an English nursery rhyme character best known for the verse about a man who could eat no fat and his wife who could eat no lean.
-
A.
Little Jack Horner
Little Jack Horner is a traditional English nursery rhyme character best known for pulling a plum out of a Christmas pie with his thumb.
-
B.
Goosefat Bill
Goosefat Bill is a roguish, sharp-tongued ally of Arthur and skilled fighter in the fantasy action film "King Arthur: Legend of the Sword."
-
C.
Charlie the cook
Charlie the cook is a supporting character in the 1933 adventure film "Son of Kong," serving as the ship’s cook and providing comic relief during the expedition.
-
D.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
-
E.
Uncle Fred
Uncle Fred is a mischievous, quick-witted aristocrat and recurring comic hero in P. G. Wodehouse’s humorous stories.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9ba3888190889a1ad554f73c5e |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e1d10c8190b69b30cc70add604 |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a6557837bc8190a2868cb661f2f2e6 |
completed | March 3, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6560a55e881909a37e503b82b35f3 |
completed | March 3, 2026, 3:31 a.m. |
Created at: March 1, 2026, 7:37 p.m.