Triple
T33879007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Reed |
E868432
|
entity |
| Predicate | relationshipWithJohn |
P206718
|
FINISHED |
| Object | distant |
—
|
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: distant | Statement: [Eliza Reed, relationshipWithJohn, distant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithJohn Context triple: [Eliza Reed, relationshipWithJohn, distant]
-
A.
relationshipWithJohnBennett
Indicates that there exists some specified type of relationship or association between an entity and John Bennett.
-
B.
relationshipTypeWithJohnLuther
Indicates the specific nature or category of the relationship an entity has with John Luther.
-
C.
relationshipToJohnAndrewLast
Indicates a familial or social relationship that an entity has specifically to John Andrew Last.
-
D.
relationshipWithJohn "Joker" Jackson
Indicates that the subject has a specified type of relationship with the person known as John "Joker" Jackson.
-
E.
relationshipToDonJohn
Indicates a familial, social, or emotional connection that one entity has specifically toward Don John.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:48 a.m.