Triple
T4435343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deerslayer |
E95634
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Judith Hutter
Judith Hutter is a central female character in James Fenimore Cooper’s novel "The Deerslayer," known for her beauty, complexity, and moral struggles on the American frontier.
|
E444558
|
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: Judith Hutter | Statement: [The Deerslayer, hasCharacter, Judith Hutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Hutter Context triple: [The Deerslayer, hasCharacter, Judith Hutter]
-
A.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
B.
Barbara Scholz
Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
-
C.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
D.
Eva Huber
Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
-
E.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
- 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: Judith Hutter Triple: [The Deerslayer, hasCharacter, Judith Hutter]
Generated description
Judith Hutter is a central female character in James Fenimore Cooper’s novel "The Deerslayer," known for her beauty, complexity, and moral struggles on the American frontier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judith Hutter Target entity description: Judith Hutter is a central female character in James Fenimore Cooper’s novel "The Deerslayer," known for her beauty, complexity, and moral struggles on the American frontier.
-
A.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
B.
Barbara Scholz
Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
-
C.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
D.
Eva Huber
Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
-
E.
Ursula Paetsch
Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f34df20819090767fe4c577be87 |
completed | March 15, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69b661b837e08190a05f1d259ed12b2c |
completed | March 15, 2026, 7:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b661da09ec8190aa13a9f60d17cbad |
completed | March 15, 2026, 7:38 a.m. |
Created at: March 12, 2026, 11:31 p.m.