Triple
T4777021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey |
E106075
|
entity |
| Predicate | Garnet BaileyDeath |
P51826
|
FINISHED |
| Object | killed in the September 11 attacks |
—
|
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: killed in the September 11 attacks | Statement: [Bailey, Garnet BaileyDeath, killed in the September 11 attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Garnet BaileyDeath Context triple: [Bailey, Garnet BaileyDeath, killed in the September 11 attacks]
-
A.
containsDeathOf
chosen
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
-
B.
diedShortlyBefore
Indicates that one entity’s death occurred a brief time before another specified event or entity’s death.
-
C.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
-
D.
diedAs
Indicates that an entity ceased to live in a particular role, state, or identity.
-
E.
deathBeforeAccessionAccordingTo
Indicates that one entity’s death occurred before another entity’s accession, as established or reported by a specified source or authority.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.