Triple
T25886699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maw Maw |
E652206
|
entity |
| Predicate | relationshipToJimmyChance |
P193925
|
FINISHED |
| Object | great-grandmother |
—
|
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: great-grandmother | Statement: [Maw Maw, relationshipToJimmyChance, great-grandmother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJimmyChance Context triple: [Maw Maw, relationshipToJimmyChance, great-grandmother]
-
A.
relationshipToJimDear
Indicates a familial, romantic, or otherwise significant personal relationship that an entity has with the person referred to as Jim Dear.
-
B.
relationshipWithJamie
Indicates a relationship or connection that an entity has with Jamie.
-
C.
relationshipToJack
Indicates the specific type of personal or social connection an entity has with Jack.
-
D.
relationshipToJackBrown
Indicates the specific familial, social, or professional relationship that an entity has to Jack Brown.
-
E.
relationshipToJamesOIncandenza
Indicates the specific familial, social, or professional relationship that an entity has to James O. Incandenza.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
| PDg | Predicate description generation | batch_69fd5bf49288819098a12202411cba4f |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 22, 2026, 8:18 a.m.