Triple
T22092732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Slow Fire Burning |
E545948
|
entity |
| Predicate | hasFollowUpTo |
P26099
|
FINISHED |
| Object | The Girl on the Train (in terms of author’s thriller output, not as a direct sequel) |
—
|
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: The Girl on the Train (in terms of author’s thriller output, not as a direct sequel) | Statement: [A Slow Fire Burning, hasFollowUpTo, The Girl on the Train (in terms of author’s thriller output, not as a direct sequel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Girl on the Train (in terms of author’s thriller output, not as a direct sequel) Context triple: [A Slow Fire Burning, hasFollowUpTo, The Girl on the Train (in terms of author’s thriller output, not as a direct sequel)]
-
A.
The Girl on the Train (novel by Paula Hawkins)
chosen
The Girl on the Train is a psychological thriller novel by Paula Hawkins that follows an unreliable, alcoholic narrator who becomes entangled in a missing-person investigation she obsessively observes from her commuter train.
-
B.
The Girl on the Train
The Girl on the Train is a psychological thriller film based on Paula Hawkins' bestselling novel, following an alcoholic divorcée who becomes entangled in a missing-person investigation.
-
C.
Girl on the Train (stage adaptation)
Girl on the Train (stage adaptation) is a theatrical play based on Paula Hawkins’ bestselling psychological thriller novel, adapted for the stage and known for its tense, suspense-driven portrayal of an unreliable witness to a mysterious disappearance.
-
D.
The Girl Before
The Girl Before is a psychological thriller novel by J.P. Delaney, later adapted into a television miniseries, about two women who separately move into a minimalist, high-tech house governed by strict rules and uncover disturbing secrets about its past.
-
E.
Gone Girl
Gone Girl is a 2014 psychological thriller film, based on Gillian Flynn’s novel, that follows the mysterious disappearance of a woman and the ensuing media frenzy and suspicion surrounding her husband.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFollowUpTo Context triple: [A Slow Fire Burning, hasFollowUpTo, The Girl on the Train (in terms of author’s thriller output, not as a direct sequel)]
-
A.
followsUp
Indicates that one entity continues, responds to, or builds upon a previous entity, typically as a subsequent action, communication, or step.
-
B.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
-
C.
isFollowUpToSingle
chosen
Indicates that one event, message, or action directly continues or responds to a single specific prior event, message, or action.
-
D.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
E.
followUpType
Indicates the specific category or nature of a follow-up action or interaction that occurs after an initial event or communication.
- F. None of above.
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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.