Triple
T6467431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Valentine's Day Massacre |
E142263
|
entity |
| Predicate | disguiseOfAssailants |
P20150
|
FINISHED |
| Object | police uniforms |
—
|
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: police uniforms | Statement: [Saint Valentine's Day Massacre, disguiseOfAssailants, police uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disguiseOfAssailants Context triple: [Saint Valentine's Day Massacre, disguiseOfAssailants, police uniforms]
-
A.
disguisedAs
chosen
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
B.
usesMasksOrDisguises
Indicates that an entity employs masks, costumes, or other forms of disguise to conceal or alter its identity in the context of an action or interaction.
-
C.
undercoverAgainst
Indicates that one entity is secretly acting in a covert or deceptive capacity directed against another entity.
-
D.
allegedImpostor
Indicates that one entity is claimed or suspected to be fraudulently posing as another entity.
-
E.
attackerSide
Indicates which party or faction is responsible for carrying out an attack in a conflict or violent incident.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a12ccf481908f71f888cd744b64 |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.