Triple
T15961836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno MacGuff |
E387079
|
entity |
| Predicate | choosesAdoptiveParents |
P120619
|
FINISHED |
| Object | Vanessa Loring |
E387081
|
NE FINISHED |
How this triple was built (3 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: Vanessa Loring | Statement: [Juno MacGuff, choosesAdoptiveParents, Vanessa Loring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Loring Context triple: [Juno MacGuff, choosesAdoptiveParents, Vanessa Loring]
-
A.
Vanessa Loring
chosen
Vanessa Loring is a key supporting character in the film "Juno," portrayed as a woman longing to adopt a child and struggling with the complexities of marriage and motherhood.
-
B.
Vanessa Applegate
Vanessa Applegate is a science fiction fanzine editor known for her work on the Hugo Award–winning publication Journey Planet.
-
C.
Vanessa Lampley
Vanessa Lampley is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the unfolding crisis when women around the world fall into a mysterious sleep.
-
D.
Vanessa Woods
Vanessa Woods is an Australian science writer and researcher known for her work on primate cognition and her popular science books about dogs, bonobos, and human evolution.
-
E.
Vanessa Ferlito
Vanessa Ferlito is an American actress known for her roles in films like "Death Proof" and TV series such as "CSI: NY" and "NCIS: New Orleans."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: choosesAdoptiveParents Context triple: [Juno MacGuff, choosesAdoptiveParents, Vanessa Loring]
-
A.
adoptiveParent
Indicates that one entity is the legally recognized parent of another through adoption rather than biological descent.
-
B.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
C.
adoptiveHome
Indicates that an entity serves as the adoptive home or placement setting for another entity, typically a child or animal, following an adoption process.
-
D.
adoptiveFamily
Indicates a familial relationship formed through legal adoption rather than biological descent.
-
E.
givenInAdoptionBy
Indicates that an entity was transferred into adoption through the action or decision of a specific giver (such as a person or organization).
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee76e9481908e74c32cb8263875 |
completed | May 10, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:53 a.m.