Triple
T10103870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Aldridge |
E216267
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Debbie Aldridge |
E659572
|
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: Debbie Aldridge | Statement: [Brian Aldridge, child, Debbie Aldridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debbie Aldridge Context triple: [Brian Aldridge, child, Debbie Aldridge]
-
A.
Debbie Aldridge
chosen
Debbie Aldridge is a fictional character from the long-running BBC Radio 4 soap opera "The Archers."
-
B.
Debra Hill
Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
-
C.
Debbie Edwards
Debbie Edwards is the kidnapped niece whose years-long search drives the emotional core of John Ford’s classic Western film "The Searchers."
-
D.
Debra Wilson
Debra Wilson is an American actress and comedian best known for her groundbreaking work on the sketch comedy series MADtv and her extensive voice acting in animation and video games.
-
E.
Bobbie Wickham
Bobbie Wickham is a lively, impulsive young woman in P. G. Wodehouse’s Jeeves and Wooster stories, known for her mischievous schemes and romantic entanglements with Bertie Wooster.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09c961081909848acec4438c300 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fc3f9608190b4472b2b87009cca |
completed | April 9, 2026, 7:05 a.m. |
Created at: March 30, 2026, 9:03 p.m.