Triple
T11318329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Benchley |
E268023
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Oscar Otter
Oscar Otter is a children's book about a young otter's adventurous mischief, written by American author Nathaniel Benchley.
|
E918889
|
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: Oscar Otter | Statement: [Nathaniel Benchley, notableWork, Oscar Otter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Otter Context triple: [Nathaniel Benchley, notableWork, Oscar Otter]
-
A.
Tarka the Otter
Tarka the Otter is a classic 1927 British children's novel by Henry Williamson that follows the life and adventures of a wild otter in the rivers and countryside of North Devon.
-
B.
Carlton the Bear
Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
-
C.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
-
D.
Benny the Beaver
Benny the Beaver is the costumed beaver mascot representing the athletic teams and school spirit of the City College of New York.
-
E.
Dolph
Dolph is a masculine given name most notably associated with American politician and former Texas governor Dolph Briscoe.
- 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: Oscar Otter Triple: [Nathaniel Benchley, notableWork, Oscar Otter]
Generated description
Oscar Otter is a children's book about a young otter's adventurous mischief, written by American author Nathaniel Benchley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oscar Otter Target entity description: Oscar Otter is a children's book about a young otter's adventurous mischief, written by American author Nathaniel Benchley.
-
A.
Tarka the Otter
Tarka the Otter is a classic 1927 British children's novel by Henry Williamson that follows the life and adventures of a wild otter in the rivers and countryside of North Devon.
-
B.
Carlton the Bear
Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
-
C.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
-
D.
Benny the Beaver
Benny the Beaver is the costumed beaver mascot representing the athletic teams and school spirit of the City College of New York.
-
E.
Dolph
Dolph is a masculine given name most notably associated with American politician and former Texas governor Dolph Briscoe.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525d3160c8190b58c5c04a66b3e3e |
completed | April 19, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531b079708190ac9e19127d36a848 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.