Triple
T7095778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack the duckling |
E165320
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object | Mr. Mallard |
E641901
|
NE FINISHED |
How this triple was built (2 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. Mallard | Statement: [Jack the duckling, hasParent, Mr. Mallard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Mallard Context triple: [Jack the duckling, hasParent, Mr. Mallard]
-
A.
Mr. Mallard
chosen
Mr. Mallard is the husband of Mrs. Mallard in Kate Chopin’s short story “The Story of an Hour,” whose reported death and unexpected return drive the plot’s exploration of marriage and personal freedom.
-
B.
Mr. Vandemar
Mr. Vandemar is a brutal, seemingly immortal assassin and one of the primary antagonists in Neil Gaiman’s urban fantasy novel "Neverwhere."
-
C.
Mr. Sparks
Mr. Sparks is a friendly, mechanically skilled character in the Noddy children's stories who often helps fix things in Toyland.
-
D.
Monsieur
Monsieur was the traditional honorific title used at the French court for Philippe I, Duke of Orléans, the younger brother of King Louis XIV.
-
E.
Mr. Jones
"Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6e554d9f081909443be54eb501d25 |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a320ce248190b8aa12f95aa9e008 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:41 p.m.