Triple
T4720972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Librarian: Curse of the Judas Chalice |
E104763
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Charlene |
E95375
|
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: Charlene | Statement: [The Librarian: Curse of the Judas Chalice, character, Charlene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlene Context triple: [The Librarian: Curse of the Judas Chalice, character, Charlene]
-
A.
Charlene
chosen
Charlene is a feminine given name derived from the male name Charles.
-
B.
Cherie
Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
-
C.
Carole
Carole is a feminine given name of French origin, commonly used in English-speaking countries.
-
D.
Charlene Fleming
Charlene Fleming is a central character in the boxing drama film "The Fighter," portrayed as the tough, outspoken girlfriend of boxer Micky Ward.
-
E.
Cinnamon Carter
Cinnamon Carter is a fictional character, a sophisticated and resourceful female agent on the classic television series "Mission: Impossible."
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642a1a808190afeefc9d65e6c539 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108fe3b08190b3d306ca4b39860d |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.