Triple
T3621842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once Upon a Mattress |
E76743
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Sir Harry
Sir Harry is a chivalrous yet comically earnest knight and suitor in the musical comedy "Once Upon a Mattress."
|
E372982
|
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: Sir Harry | Statement: [Once Upon a Mattress, hasCharacter, Sir Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Harry Context triple: [Once Upon a Mattress, hasCharacter, Sir Harry]
-
A.
Baron Hawke
Baron Hawke is a hereditary title in the Peerage of Great Britain, created in the 18th century for the distinguished Royal Navy officer Edward Hawke.
-
B.
Sir Charles
Sir Charles is the popular nickname of Charles Barkley, the Hall of Fame NBA power forward known for his dominant play, outspoken personality, and later work as a television analyst.
-
C.
Sir Carter
Sir Carter is one of Beyoncé and Jay-Z's twin children, born in 2017.
-
D.
Lord Hodge
Lord Hodge is a senior Scottish jurist who serves as Deputy President of the Supreme Court of the United Kingdom.
-
E.
Lord Jeff
Lord Jeff is the former, now-retired mascot of Amherst College, based on Lord Jeffery Amherst, whose controversial legacy led the school to abandon the character.
- 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: Sir Harry Triple: [Once Upon a Mattress, hasCharacter, Sir Harry]
Generated description
Sir Harry is a chivalrous yet comically earnest knight and suitor in the musical comedy "Once Upon a Mattress."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Harry Target entity description: Sir Harry is a chivalrous yet comically earnest knight and suitor in the musical comedy "Once Upon a Mattress."
-
A.
Baron Hawke
Baron Hawke is a hereditary title in the Peerage of Great Britain, created in the 18th century for the distinguished Royal Navy officer Edward Hawke.
-
B.
Sir Charles
Sir Charles is the popular nickname of Charles Barkley, the Hall of Fame NBA power forward known for his dominant play, outspoken personality, and later work as a television analyst.
-
C.
Sir Carter
Sir Carter is one of Beyoncé and Jay-Z's twin children, born in 2017.
-
D.
Lord Hodge
Lord Hodge is a senior Scottish jurist who serves as Deputy President of the Supreme Court of the United Kingdom.
-
E.
Lord Jeff
Lord Jeff is the former, now-retired mascot of Amherst College, based on Lord Jeffery Amherst, whose controversial legacy led the school to abandon the character.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b436140e9c81909c0616e6fce36c2b |
completed | March 13, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b439c83580819091024e692847a7db |
completed | March 13, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:23 p.m.