Triple
T3196756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodie Comer |
E66953
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
|
E336029
|
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: Comer | Statement: [Jodie Comer, familyName, Comer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comer Context triple: [Jodie Comer, familyName, Comer]
-
A.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
B.
Demel
Demel is a historic and prestigious Viennese pastry shop and chocolatier renowned for its traditional cakes and confections.
-
C.
Gordons
Gordons is a residential and commercial suburb within Port Moresby, the capital city of Papua New Guinea.
-
D.
McDonald
McDonald is a common Scottish-origin surname borne by numerous notable individuals across politics, sports, academia, and entertainment.
-
E.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
- 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: Comer Triple: [Jodie Comer, familyName, Comer]
Generated description
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comer Target entity description: Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
-
A.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
B.
Demel
Demel is a historic and prestigious Viennese pastry shop and chocolatier renowned for its traditional cakes and confections.
-
C.
Gordons
Gordons is a residential and commercial suburb within Port Moresby, the capital city of Papua New Guinea.
-
D.
McDonald
McDonald is a common Scottish-origin surname borne by numerous notable individuals across politics, sports, academia, and entertainment.
-
E.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bb2c9908190b3abc395537e22ac |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24cda28308190b33f189b8c7f3c58 |
completed | March 12, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d84f29c819087c15fd3883d6657 |
completed | March 12, 2026, 5:22 a.m. |
Created at: March 8, 2026, 3:07 p.m.