Triple
T24301628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elijah Krantz |
E606113
|
entity |
| Predicate | relationshipToHannahHorvath |
P62629
|
FINISHED |
| Object | ex-boyfriend |
—
|
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: ex-boyfriend | Statement: [Elijah Krantz, relationshipToHannahHorvath, ex-boyfriend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHannahHorvath Context triple: [Elijah Krantz, relationshipToHannahHorvath, ex-boyfriend]
-
A.
relationshipToHannah
chosen
Indicates the specific type of relationship or connection that an entity has to Hannah.
-
B.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
C.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
-
D.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
E.
relationshipToBenny
Indicates the specific type of personal or social relationship that an entity has with Benny.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29222d3008190af765d62787ee334 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.