Triple
T10202063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John "Reaper" Grimm |
E238905
|
entity |
| Predicate | relationshipToSamanthaGrimm |
P92689
|
FINISHED |
| Object | twin brother |
—
|
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: twin brother | Statement: [John "Reaper" Grimm, relationshipToSamanthaGrimm, twin brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSamanthaGrimm Context triple: [John "Reaper" Grimm, relationshipToSamanthaGrimm, twin brother]
-
A.
relationshipToHannah
Indicates the specific type of relationship or connection that an entity has to Hannah.
-
B.
relationshipToBenjy
Indicates the specific type of relationship or connection an entity has to Benjy.
-
C.
relationshipToNaomi
Indicates the specific familial, social, or interpersonal connection that an entity has with Naomi.
-
D.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
E.
relationshipToSophie
Indicates the specific type of personal or social connection that an entity has to Sophie.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee4239c08190b40f5cc19c3db3c7 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:14 p.m.