Triple
T36755744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Ávila |
E908046
|
entity |
| Predicate | hasFullNameInSeriesTitle |
P186547
|
FINISHED |
| Object | Sr. Ávila |
—
|
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: Sr. Ávila | Statement: [Roberto Ávila, hasFullNameInSeriesTitle, Sr. Ávila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullNameInSeriesTitle Context triple: [Roberto Ávila, hasFullNameInSeriesTitle, Sr. Ávila]
-
A.
hasGivenNameInTitle
Indicates that the given name of an entity appears within the title of another entity.
-
B.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
C.
hasFullNameInCanon
Indicates that an entity’s complete, official name is explicitly established within the canonical source material.
-
D.
hasTitleInName
Indicates that an entity’s name explicitly includes a specified title as part of it.
-
E.
hasTitleInCredits
Indicates that an entity is listed with a specific title or role in the credits of a work.
- F. None of above. chosen
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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.