Triple
T7357152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holes |
E169653
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Mr. Sir
Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
|
E658812
|
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: Mr. Sir | Statement: [Holes, character, Mr. Sir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Sir Context triple: [Holes, character, Mr. Sir]
-
A.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
B.
Mr. G
Mr. G is the nickname of Gustaf V, who was King of Sweden from 1907 to 1950 and one of the longest-reigning Swedish monarchs.
-
C.
Mister Johnson
Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
-
D.
Mr. B
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
E.
Mr. Salter
Mr. Salter is a minor but memorable character in Evelyn Waugh’s satirical novel "Scoop," contributing to the book’s comic portrayal of the British press.
- 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: Mr. Sir Triple: [Holes, character, Mr. Sir]
Generated description
Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Sir Target entity description: Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
-
A.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
B.
Mr. G
Mr. G is the nickname of Gustaf V, who was King of Sweden from 1907 to 1950 and one of the longest-reigning Swedish monarchs.
-
C.
Mister Johnson
Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
-
D.
Mr. B
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
E.
Mr. Salter
Mr. Salter is a minor but memorable character in Evelyn Waugh’s satirical novel "Scoop," contributing to the book’s comic portrayal of the British press.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa6a5d88190b969b7783edc67b7 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc2c90488190bd3aa5bf72606723 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb5f7f0819081e70f8809bb34ae |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:06 p.m.