Triple
T34926055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Riker |
E1007287
|
entity |
| Predicate | duplicateOf |
P76200
|
FINISHED |
| Object | William T. Riker |
—
|
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: William T. Riker | Statement: [Thomas Riker, duplicateOf, William T. Riker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: duplicateOf Context triple: [Thomas Riker, duplicateOf, William T. Riker]
-
A.
duplicates
chosen
Indicates that one entity is an exact or near-exact copy of another entity in content, structure, or function.
-
B.
replicaOf
Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
-
C.
peated
Indicates that an action, event, or state has occurred repeatedly or multiple times.
-
D.
isDoubleCoverOf
Indicates that one object serves as a two-to-one covering of another, such that each point or element of the second is covered by exactly two corresponding points or elements of the first.
-
E.
createdBySamePersonAs
Indicates that two entities were both created by the same individual or agent.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.