Triple
T17748050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloak & Dagger |
E443037
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Olivia Holt
Olivia Holt is an American actress and singer best known for her leading role as Tandy Bowen/Dagger in the Marvel television series "Cloak & Dagger."
|
E1288529
|
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: Olivia Holt | Statement: [Cloak & Dagger, portrayedBy, Olivia Holt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Holt Context triple: [Cloak & Dagger, portrayedBy, Olivia Holt]
-
A.
Olivia Van Der Beek
Olivia Van Der Beek is one of the children of American actor James Van Der Beek.
-
B.
Olivia DeJonge
Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
-
C.
Olivia Cooke
Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
-
D.
Olivia Olson
Olivia Olson is an American singer and actress best known for her role as Joanna in the film "Love Actually" and for voicing Marceline the Vampire Queen in the animated series "Adventure Time."
-
E.
Kelsey Dohring
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
- 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: Olivia Holt Triple: [Cloak & Dagger, portrayedBy, Olivia Holt]
Generated description
Olivia Holt is an American actress and singer best known for her leading role as Tandy Bowen/Dagger in the Marvel television series "Cloak & Dagger."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivia Holt Target entity description: Olivia Holt is an American actress and singer best known for her leading role as Tandy Bowen/Dagger in the Marvel television series "Cloak & Dagger."
-
A.
Olivia Van Der Beek
Olivia Van Der Beek is one of the children of American actor James Van Der Beek.
-
B.
Olivia DeJonge
Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
-
C.
Olivia Cooke
Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
-
D.
Olivia Olson
Olivia Olson is an American singer and actress best known for her role as Joanna in the film "Love Actually" and for voicing Marceline the Vampire Queen in the animated series "Adventure Time."
-
E.
Kelsey Dohring
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82c6b6c81909864f273f85056ba |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f9584ca08190b00efcd333c35864 |
completed | May 12, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fadc5d4481908f7e7139a83c02bc |
completed | May 12, 2026, 10:03 a.m. |
Created at: April 10, 2026, 10:10 a.m.