Triple
T36364444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Robinson |
E895580
|
entity |
| Predicate | modeOfTransportInFinalScene |
P86086
|
FINISHED |
| Object | bus |
—
|
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: bus | Statement: [Elaine Robinson, modeOfTransportInFinalScene, bus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTransportInFinalScene Context triple: [Elaine Robinson, modeOfTransportInFinalScene, bus]
-
A.
modeOfTransportAtDeath
Indicates the means or vehicle by which a person was traveling at the time of their death.
-
B.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
C.
travelsInVehicle
Indicates that an entity is moving from one place to another while being transported inside or on a vehicle.
-
D.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
E.
transportModePresent
chosen
Indicates that a particular mode of transportation is involved or available in the described context or event.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.