Triple
T15591922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ransom 2 |
E374762
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Ransom |
E970052
|
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: Ransom | Statement: [Ransom 2, follows, Ransom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ransom Context triple: [Ransom 2, follows, Ransom]
-
A.
Ransom
Ransom is a 1996 American thriller film directed by Ron Howard and starring Mel Gibson, centered on a wealthy father's desperate attempt to rescue his kidnapped son.
-
B.
Ransom
Ransom is the given name of American author and filmmaker Ransom Riggs, best known for creating the "Miss Peregrine's Home for Peculiar Children" series.
-
C.
Ransom
Ransom is a small village located in LaSalle County, Illinois, in the United States.
-
D.
Ransom
chosen
Ransom is a crime thriller television series created by Frank Spotnitz that follows a crisis and hostage negotiator who resolves high-stakes conflicts without violence.
-
E.
Ransom 2
Ransom 2 is a studio album by American record producer Mike Will Made-It, featuring a wide range of prominent hip-hop and R&B artists.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4b903c8190a35f9267cb38e721 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c55fa248190b114a5b63560f87b |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:12 a.m.