Triple
T26428655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aidan McRory |
E664439
|
entity |
| Predicate | relationshipToTigerCubs |
P96394
|
FINISHED |
| Object | initially hunter |
—
|
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: initially hunter | Statement: [Aidan McRory, relationshipToTigerCubs, initially hunter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToTigerCubs Context triple: [Aidan McRory, relationshipToTigerCubs, initially hunter]
-
A.
relationshipToChildren
Indicates the type of familial or social connection an entity has to one or more children.
-
B.
relationshipToGreenBayPackers
Indicates the nature of a person or entity’s connection or association with the Green Bay Packers.
-
C.
relationshipToYoungerFamily
Indicates a familial relationship where one person is related to another who is younger in age within the family.
-
D.
relationshipToPlayer
Indicates the type of personal or social connection an entity has with the player.
-
E.
relationshipToCreature
chosen
Indicates a specified type of relational connection that one entity has toward a particular creature.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 26, 2026, 11:47 p.m.