Triple
T24872652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sodapop Curtis |
E622475
|
entity |
| Predicate | relationshipToDarry |
P164154
|
FINISHED |
| Object | mediator between Darry and Ponyboy |
—
|
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: mediator between Darry and Ponyboy | Statement: [Sodapop Curtis, relationshipToDarry, mediator between Darry and Ponyboy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDarry Context triple: [Sodapop Curtis, relationshipToDarry, mediator between Darry and Ponyboy]
-
A.
relationshipStatusWithDaria
Indicates the type or state of the relationship that an entity currently has with Daria.
-
B.
relationshipToDani
Indicates the specific type of relationship or connection that an entity has to Dani.
-
C.
relationshipToDudley
Indicates the specific familial or social relationship that one entity has to the person named Dudley.
-
D.
relationshipToKenny
Indicates the specific familial, social, or interpersonal connection that one entity has to Kenny.
-
E.
relationshipToTerry
Indicates the specific type of personal or social relationship that one entity has with Terry.
- F. None of above. chosen
Provenance (4 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 18, 2026, 5:23 a.m.