Triple
T24860499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siri Hustvedt |
E622137
|
entity |
| Predicate | doctoralThesisIn |
P114069
|
FINISHED |
| Object | Charles Dickens |
E58638
|
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: Charles Dickens | Statement: [Siri Hustvedt, doctoralThesisIn, Charles Dickens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctoralThesisIn Context triple: [Siri Hustvedt, doctoralThesisIn, Charles Dickens]
-
A.
fieldOfDoctoralThesis
chosen
Indicates the academic discipline or subject area in which a person’s doctoral thesis was written.
-
B.
coreThesis
Indicates that something expresses, embodies, or constitutes the central argument or main claim within a larger work, discussion, or theory.
-
C.
doctoralThesisTitle
Indicates the title associated with a person's doctoral thesis.
-
D.
undergraduateThesis
Indicates that one entity is an undergraduate student’s thesis work, authored or completed under the supervision or within the academic program of another entity.
-
E.
doctoralThesisLanguage
Indicates the language in which a doctoral thesis is written or formally presented.
- F. None of above.
Provenance (4 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101c571d0c8190bada500ce9fcfbf9 |
completed | May 22, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:22 a.m.