Triple
T7095749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Mallard |
E165319
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Nack
Nack is the child of Mrs. Mallard in the classic children's book "Make Way for Ducklings" by Robert McCloskey.
|
E641903
|
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: Nack | Statement: [Mrs. Mallard, hasChild, Nack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nack Context triple: [Mrs. Mallard, hasChild, Nack]
-
A.
Nick Nack
Nick Nack is the diminutive, cunning henchman and butler to villain Francisco Scaramanga in the James Bond film "The Man with the Golden Gun."
-
B.
Nik
Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
-
C.
Nexø
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
-
D.
Nin
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
-
E.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
- 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: Nack Triple: [Mrs. Mallard, hasChild, Nack]
Generated description
Nack is the child of Mrs. Mallard in the classic children's book "Make Way for Ducklings" by Robert McCloskey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nack Target entity description: Nack is the child of Mrs. Mallard in the classic children's book "Make Way for Ducklings" by Robert McCloskey.
-
A.
Nick Nack
Nick Nack is the diminutive, cunning henchman and butler to villain Francisco Scaramanga in the James Bond film "The Man with the Golden Gun."
-
B.
Nik
Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
-
C.
Nexø
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
-
D.
Nin
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
-
E.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c9e4efc8190acb011a0bd1f120f |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d4f009c819089fc20c262f0efdc |
completed | March 28, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79df3f5648190981176b6c9791181 |
completed | March 28, 2026, 9:23 a.m. |
Created at: March 27, 2026, 2:41 p.m.