Triple
T7906295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Sharp |
E183584
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | Madeline Ashton |
E244061
|
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: Madeline Ashton | Statement: [Helen Sharp, hasRivalryWith, Madeline Ashton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madeline Ashton Context triple: [Helen Sharp, hasRivalryWith, Madeline Ashton]
-
A.
Madeline Ashton
chosen
Madeline Ashton is a vain, aging Hollywood actress whose obsession with youth and beauty leads her to drink a magical potion granting eternal life in the dark comedy film "Death Becomes Her."
-
B.
Madeline Wuntch
Madeline Wuntch is a high-ranking NYPD official and recurring antagonist in the sitcom "Brooklyn Nine-Nine," known for her long-running professional feud with Captain Raymond Holt.
-
C.
Madeline Will
Madeline Will is the wife of American conservative political commentator and columnist George F. Will.
-
D.
Madeline Stavely
Madeline Stavely is a central fictional character in Anthony Trollope’s novel "Orley Farm," around whom much of the story’s emotional and social drama revolves.
-
E.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5871b8819087ad69c116c40091 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc935fac3081908d70cf29b90cfcff |
completed | April 1, 2026, 3:39 a.m. |
Created at: March 30, 2026, 5:03 p.m.