Triple
T13861604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Newsreader |
E333208
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Glen |
E847418
|
NE FINISHED |
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: Glen | Statement: [The Newsreader, hasMainCharacter, Glen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen Context triple: [The Newsreader, hasMainCharacter, Glen]
-
A.
Glen
chosen
Glen is the androgynous, conflicted child of killer dolls Chucky and Tiffany in the horror-comedy film "Seed of Chucky."
-
B.
Glen
Glen is a masculine given name of Scottish origin meaning "valley," commonly used in English-speaking countries.
-
C.
Glen
Glen is a fictional character from Jake Arnott’s crime novel "The Long Firm," which explores the London underworld of the 1960s.
-
D.
Glenaan
Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
-
E.
The Glen
The Glen is a historic public park in Dunfermline, Scotland, known for its landscaped grounds, woodland walks, and cultural significance as part of Pittencrieff Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.