Triple
T24912321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girlfriend Experience (TV series) |
E623877
|
entity |
| Predicate | firstSeasonLeadCharacter |
P129051
|
FINISHED |
| Object | Christine Reade |
—
|
NE NERFINISHED |
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: Christine Reade | Statement: [The Girlfriend Experience (TV series), firstSeasonLeadCharacter, Christine Reade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonLeadCharacter Context triple: [The Girlfriend Experience (TV series), firstSeasonLeadCharacter, Christine Reade]
-
A.
laterMainCharacterOf
Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
-
B.
firstSeriesRegular
chosen
Indicates that an entity is the first person to serve as a series regular in a given series or show.
-
C.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
D.
firstSeasonOf
Indicates that one entity is the first season installment belonging to the series or show represented by the other entity.
-
E.
introducedByCharacter
Indicates that one character is responsible for presenting, bringing into the story, or otherwise causing another entity to be first revealed or made known.
- F. None of above.
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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 18, 2026, 5:28 a.m.