Triple
T11800768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susannah Dean |
E280618
|
entity |
| Predicate | hasDualPersonality |
P31337
|
FINISHED |
| Object | Detta Walker |
E947901
|
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: Detta Walker | Statement: [Susannah Dean, hasDualPersonality, Detta Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detta Walker Context triple: [Susannah Dean, hasDualPersonality, Detta Walker]
-
A.
Detta Walker
chosen
Detta Walker is a fierce and volatile alternate personality of Susannah Dean in Stephen King’s The Dark Tower series.
-
B.
Rachel Walker
Rachel Walker was the second wife of American patriot Paul Revere, with whom she had a large family in colonial Boston.
-
C.
Renee Walker
Renee Walker is a fictional FBI agent and counterterrorism analyst from the television series "24," known for her intense dedication and morally complex decisions.
-
D.
Kate Walker
Kate Walker is the reserved, independent London woman who becomes the unexpected romantic interest of the title character in the film "Last Chance Harvey."
-
E.
Kate Walker
Kate Walker was a renowned 19th- and early 20th-century lighthouse keeper celebrated for her long and heroic service at Robbins Reef Lighthouse in New York Harbor.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be15fb2481908f514781ce2c617f |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166dbcb848190a5942ec00a2ca2f9 |
completed | April 29, 2026, 2:03 a.m. |
Created at: April 8, 2026, 9:42 p.m.