Triple
T10026019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skins |
E200725
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | George Faber |
E322811
|
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: George Faber | Statement: [Skins, executiveProducer, George Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Faber Context triple: [Skins, executiveProducer, George Faber]
-
A.
George Faber
chosen
George Faber is a British television and film producer known for his work on acclaimed dramas and biographical films.
-
B.
Henry Frye
Henry Frye is a pioneering American jurist who became the first African American chief justice of the North Carolina Supreme Court.
-
C.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
-
D.
Edward Monkford
Edward Monkford is a controlling, enigmatic architect whose strict rules and psychological manipulation drive the suspense in the psychological thriller "The Girl Before."
-
E.
Henry Van Brunt
Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde2009081908eddda7813617df4 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ac2f14081908deaf3945491af78 |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:53 p.m.