Triple
T22596116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fathers and Daughters |
E574684
|
entity |
| Predicate | hasAdultVersionOfCharacter |
P65617
|
FINISHED |
| Object | Katie Davis |
—
|
NE NERFINISHED |
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: Katie Davis | Statement: [Fathers and Daughters, hasAdultVersionOfCharacter, Katie Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Davis Context triple: [Fathers and Daughters, hasAdultVersionOfCharacter, Katie Davis]
-
A.
Katie Davis
chosen
Katie Davis is the central protagonist of the drama film "Fathers and Daughters," around whom the story’s emotional exploration of family, loss, and healing revolves.
-
B.
Katie Russell
Katie Russell is the commonly used name of Katherine Russell, which may refer to one of several individuals sharing that personal name.
-
C.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
-
D.
Katie Carr
Katie Carr is the conflicted, self-critical doctor and wife who narrates Nick Hornby’s novel "How to Be Good," exploring themes of morality, marriage, and modern middle-class guilt.
-
E.
Katie Cox
Katie Cox is a supporting character in the dark comedy film "Burn After Reading," known as the unfaithful wife of a CIA analyst whose affair helps set off the movie’s chain of chaotic events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.