Triple
T19304620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kingdom |
E482791
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ghosts in the Machine |
—
|
NE NERFINISHED |
How this triple was built (3 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: Ghosts in the Machine | Statement: [The Kingdom, hasPart, Ghosts in the Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghosts in the Machine Context triple: [The Kingdom, hasPart, Ghosts in the Machine]
-
A.
A Ghost in the Machine
A Ghost in the Machine is a crime novel by Caroline Graham featuring Chief Inspector Barnaby investigating a series of suspicious deaths in an English village.
-
B.
Ghost in the Machine
Ghost in the Machine is a 1993 American horror-thriller film about a serial killer whose consciousness is transferred into a computer, allowing him to continue his murders through electronic devices.
-
C.
Ghost of the Robot
Ghost of the Robot is an American rock band best known for featuring actor and musician James Marsters as its lead vocalist.
-
D.
The Machine
The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
-
E.
The Machine
The Machine is the nickname of Shelly Levene, a once-legendary but now struggling real estate salesman in David Mamet’s play and film "Glengarry Glen Ross."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ghosts in the Machine Target entity description: Ghosts in the Machine is a component or segment of the larger work "The Kingdom," likely serving as one of its notable chapters, episodes, or sub-stories.
-
A.
A Ghost in the Machine
A Ghost in the Machine is a crime novel by Caroline Graham featuring Chief Inspector Barnaby investigating a series of suspicious deaths in an English village.
-
B.
Ghost in the Machine
Ghost in the Machine is a 1993 American horror-thriller film about a serial killer whose consciousness is transferred into a computer, allowing him to continue his murders through electronic devices.
-
C.
Ghost of the Robot
Ghost of the Robot is an American rock band best known for featuring actor and musician James Marsters as its lead vocalist.
-
D.
The Machine
The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
-
E.
The Machine
The Machine is the nickname of Shelly Levene, a once-legendary but now struggling real estate salesman in David Mamet’s play and film "Glengarry Glen Ross."
- F. None of above. chosen
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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c744908190975c71a28acc96cc |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.