Triple
T18926152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Gilkeson |
E462975
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | The Missing |
—
|
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: The Missing | Statement: [Maggie Gilkeson, fictionalUniverse, The Missing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Missing Context triple: [Maggie Gilkeson, fictionalUniverse, The Missing]
-
A.
The Missing
The Missing is a 2003 Western thriller film directed by Ron Howard, starring Tommy Lee Jones and Cate Blanchett, about a frontier woman who teams up with her estranged father to rescue her kidnapped daughter.
-
B.
The Missing
The Missing is a work of writing, likely a novel or story, authored by Sue Smith.
-
C.
The Missing
The Missing is a novel by Ken Kaufman, best known for its suspenseful exploration of loss and the search for a vanished loved one.
-
D.
The Missing
chosen
The Missing is a British television drama series that follows the emotional and psychological fallout of a child's disappearance and the obsessive search that spans years and countries.
-
E.
Two Missing
Two Missing is a film featuring actress Sophie Kennedy Clark in a significant role.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.