Triple
T27453226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melquiades Estrada |
E692507
|
entity |
| Predicate | relationshipToPetePerkins |
P132192
|
FINISHED |
| Object | best friend |
—
|
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: best friend | Statement: [Melquiades Estrada, relationshipToPetePerkins, best friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPetePerkins Context triple: [Melquiades Estrada, relationshipToPetePerkins, best friend]
-
A.
relationshipToPete
chosen
Indicates the specific type of relationship or connection that an entity has to Pete.
-
B.
relationshipToPeter
Indicates the specific type of relationship or connection that an entity has to Peter.
-
C.
relationshipToCarolPeletier
Indicates the specific familial, social, or interpersonal connection an entity has to Carol Peletier.
-
D.
relationshipToTinaBordereau
Indicates the specific type of personal or professional relationship an entity has with Tina Bordereau.
-
E.
relationshipToPatsey
Indicates the nature or type of relationship an entity has with the person or entity named Patsey.
- 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_69ef5206c9248190b5975c2a7f9d229c |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: April 27, 2026, 12:48 p.m.