Triple
T2941811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Valentine |
E79403
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Cami Delavigne
Cami Delavigne is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
|
E311379
|
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: Cami Delavigne | Statement: [Blue Valentine, writer, Cami Delavigne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cami Delavigne Context triple: [Blue Valentine, writer, Cami Delavigne]
-
A.
Kaitlyn Dias
Kaitlyn Dias is an American actress best known for voicing the character Riley Andersen in Pixar's animated film "Inside Out."
-
B.
Kelly Marcel
Kelly Marcel is a British screenwriter and producer known for her work on films such as "Saving Mr. Banks" and the "Fifty Shades of Grey" adaptation.
-
C.
Elodie Yung
Elodie Yung is a French actress best known for her roles in projects like Marvel's "Daredevil" and "The Defenders," where she portrayed the assassin Elektra Natchios.
-
D.
Amber Mark
Amber Mark is an American singer, songwriter, and producer known for her soulful blend of R&B, pop, and global influences.
-
E.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
- 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: Cami Delavigne Triple: [Blue Valentine, writer, Cami Delavigne]
Generated description
Cami Delavigne is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cami Delavigne Target entity description: Cami Delavigne is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
-
A.
Kaitlyn Dias
Kaitlyn Dias is an American actress best known for voicing the character Riley Andersen in Pixar's animated film "Inside Out."
-
B.
Kelly Marcel
Kelly Marcel is a British screenwriter and producer known for her work on films such as "Saving Mr. Banks" and the "Fifty Shades of Grey" adaptation.
-
C.
Elodie Yung
Elodie Yung is a French actress best known for her roles in projects like Marvel's "Daredevil" and "The Defenders," where she portrayed the assassin Elektra Natchios.
-
D.
Amber Mark
Amber Mark is an American singer, songwriter, and producer known for her soulful blend of R&B, pop, and global influences.
-
E.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9870e5d08190b3b277ba823fe6a1 |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d241c7088190b440a47f4af54fbb |
completed | March 11, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d6466e848190bea4215cc9d358c7 |
completed | March 11, 2026, 2:41 a.m. |
Created at: March 8, 2026, 2:56 p.m.