Triple
T25636937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squire Boone |
E642724
|
entity |
| Predicate | hasNotableCompanion |
P22642
|
FINISHED |
| Object | Daniel Boone |
—
|
NE NERFINISHED |
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: Daniel Boone | Statement: [Squire Boone, hasNotableCompanion, Daniel Boone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCompanion Context triple: [Squire Boone, hasNotableCompanion, Daniel Boone]
-
A.
companionOf
chosen
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
B.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
C.
hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
-
D.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
E.
hasCompanionSpecies
Indicates that one entity is accompanied by, or exists in association with, another entity of a different species.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 21, 2026, 5:33 p.m.