Triple
T20248649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Whale |
E498490
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Mary
Mary is a character from Herman Melville’s novel "Moby-Dick," appearing in the context of the whaling world depicted in the story.
|
E1421769
|
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: Mary | Statement: [The Whale, character, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [The Whale, character, Mary]
-
A.
Mary
Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
-
B.
Mary
"Mary" is a song from Sarah McLachlan’s acclaimed 1993 album *Fumbling Towards Ecstasy*, known for its introspective lyrics and ethereal, emotive vocal style.
-
C.
Mary
Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
-
D.
Mary
Mary is the given first name of Eugenia Charles, the pioneering former Prime Minister of Dominica and one of the Caribbean’s most prominent female political leaders.
-
E.
Mary
Mary is the middle name of the renowned British archaeologist Kathleen Kenyon.
- 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: Mary Triple: [The Whale, character, Mary]
Generated description
Mary is a character from Herman Melville’s novel "Moby-Dick," appearing in the context of the whaling world depicted in the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is a character from Herman Melville’s novel "Moby-Dick," appearing in the context of the whaling world depicted in the story.
-
A.
Mary
Mary is a minor character in Mark Twain's novel "The Adventures of Tom Sawyer," known as Tom's kind and well-behaved cousin.
-
B.
Mary
Mary is a supporting character in Richard Wagner’s opera "Der fliegende Holländer," typically portrayed as Senta’s nurse or confidante within the story’s coastal Norwegian setting.
-
C.
Mary
Mary is a central protagonist in Robert A. Heinlein’s science fiction novel "The Puppet Masters," playing a key role in humanity’s struggle against parasitic alien invaders.
-
D.
Mary
Mary is a fictional character in B.F. Skinner’s utopian novel "Walden Two," representing one of the community’s young members shaped by its behaviorist social principles.
-
E.
Mary
Mary is a central character in Ralph Vaughan Williams's opera "Hugh the Drover," serving as the romantic interest whose choices drive much of the plot.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a1759d081909909d30925d03d72 |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085ad8bfd08190ac31b66cdc0bc6aa |
completed | May 16, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085b756f44819090892ab35a98fcc8 |
completed | May 16, 2026, 11:56 a.m. |
Created at: April 11, 2026, 11:41 p.m.