Triple
T25886697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maw Maw |
E652206
|
entity |
| Predicate | relationshipToVirginiaChance |
P193819
|
FINISHED |
| Object | 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: grandmother | Statement: [Maw Maw, relationshipToVirginiaChance, grandmother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToVirginiaChance Context triple: [Maw Maw, relationshipToVirginiaChance, grandmother]
-
A.
roleAtVirginia
Indicates that an entity holds or held a specific role or position at an institution or organization in Virginia.
-
B.
returnToVirginia
Indicates that an entity goes back or moves again to the location identified as Virginia after having been away.
-
C.
populationRankInVirginia
Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
-
D.
relationshipToVarinia
Indicates a relational connection or association that an entity has specifically with Varinia.
-
E.
relationshipTypeWithVincent
Indicates the specific nature or category of relationship that an entity has with Vincent.
- 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_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fd57b9cdec81908536c4159e375931 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 22, 2026, 8:18 a.m.