Triple
T20109461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt’s Gift |
E490286
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Charlie Citrine |
—
|
NE NERFINISHED |
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: Charlie Citrine | Statement: [Humboldt’s Gift, hasCharacter, Charlie Citrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Citrine Context triple: [Humboldt’s Gift, hasCharacter, Charlie Citrine]
-
A.
Charlie Citrine
chosen
Charlie Citrine is the introspective, spiritually searching writer and narrator of Saul Bellow’s novel "Humboldt’s Gift," whose midlife crisis and reflections on art, success, and friendship drive the story.
-
B.
Cherlyn Markowitz
Cherlyn Markowitz is a fictional character who serves as one of the central figures in the short-lived 1994 American sitcom "704 Hauser," a spin-off of "All in the Family."
-
C.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
D.
Jean Schwartz
Jean Schwartz was an American songwriter and composer best known for his popular early 20th-century Tin Pan Alley hits.
-
E.
Bob Tzudiker
Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666df1b148190a28ead2f7cce7aab |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.