Triple
T34355871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubén Berríos Martínez |
E881720
|
entity |
| Predicate | hasCompoundSurname |
P69803
|
FINISHED |
| Object | Berríos Martínez |
E881720
|
NE 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: Berríos Martínez | Statement: [Rubén Berríos Martínez, hasCompoundSurname, Berríos Martínez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompoundSurname Context triple: [Rubén Berríos Martínez, hasCompoundSurname, Berríos Martínez]
-
A.
isCompoundSurname
chosen
Indicates that a surname consists of two or more distinct name elements combined into a single family name.
-
B.
hasComponentSurname
Indicates that an entity’s full name includes a specified surname as one of its component parts.
-
C.
hasSeptSurname
Indicates that an entity bears a surname associated with a particular sept (a family subgroup or clan division).
-
D.
hasBaseSurname
Indicates that an entity’s surname is derived from, or fundamentally corresponds to, a specified base or canonical surname.
-
E.
hasSurnameFromParent
Indicates that an individual’s surname is inherited from one of their parents.
- F. None of above.
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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3803e75bd081908aad28ab9c921d0a |
completed | June 21, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.