Triple
T21610050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Phantom Strikes (1938 film) |
E533278
|
entity |
| Predicate | hasMaskedKiller |
P86283
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [The Phantom Strikes (1938 film), hasMaskedKiller, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaskedKiller Context triple: [The Phantom Strikes (1938 film), hasMaskedKiller, true]
-
A.
hasKiller
Indicates that one entity is the killer or cause of death of another entity.
-
B.
hasKillerDoll
Indicates that an entity possesses, is associated with, or is responsible for a doll characterized as a killer.
-
C.
hasKillerType
chosen
Indicates a relationship where an entity is associated with a specific type or category of killer.
-
D.
hasMurderer
Indicates that one entity is the person who committed the murder of another entity.
-
E.
hasSerialKillerElement
Indicates that something includes, involves, or is characterized by an aspect, theme, or component related to a serial killer.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e7d1388190922a90cb91ec9fc4 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.