Triple
T32188713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Fowler Jr. |
E822175
|
entity |
| Predicate | deathHasStrongImpactOn |
P27814
|
FINISHED |
| Object | Matt Fowler |
—
|
NE NERFINISHED |
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: Matt Fowler | Statement: [Frank Fowler Jr., deathHasStrongImpactOn, Matt Fowler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathHasStrongImpactOn Context triple: [Frank Fowler Jr., deathHasStrongImpactOn, Matt Fowler]
-
A.
deathPlaceInfluence
Indicates that the place where an entity died had a significant impact or influence on that entity or its legacy.
-
B.
effectOfDeath
chosen
Indicates the causal impact or consequences that a death has on another entity, state, or process.
-
C.
deathContributedTo
Indicates that one entity played a causal or contributing role in bringing about the death of another entity.
-
D.
deathLeadsTo
Indicates that one entity’s death causes, results in, or brings about another event, state, or condition.
-
E.
casualtiesImpact
Indicates how the number or severity of casualties affects or influences another factor, situation, or outcome.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 12:35 a.m.