Triple
T10808324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dill Harris |
E255024
|
entity |
| Predicate | criesBecauseOf |
P44213
|
FINISHED |
| Object | treatment of Tom Robinson |
—
|
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: treatment of Tom Robinson | Statement: [Dill Harris, criesBecauseOf, treatment of Tom Robinson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criesBecauseOf Context triple: [Dill Harris, criesBecauseOf, treatment of Tom Robinson]
-
A.
speaksAsInfantInCradle
Indicates that an entity performs speech or vocalization in the manner of an infant lying in a cradle.
-
B.
grievesFor
chosen
Indicates that one entity feels grief or sorrow because of the loss, suffering, or misfortune of another entity.
-
C.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
mourningCause
Indicates that one entity is in a state of mourning specifically because of the other entity, which is the cause or reason for the grief.
-
E.
childDiedIn
Indicates that a child died within or as part of the specified event, situation, or context.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b60c6481909b043565a65f996d |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.