Triple
T14461012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Racer Rodriguez |
E358582
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rodriguez |
E73346
|
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: Rodriguez | Statement: [Racer Rodriguez, familyName, Rodriguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodriguez Context triple: [Racer Rodriguez, familyName, Rodriguez]
-
A.
Rodriguez
chosen
Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
-
B.
José Rodriguez
José Rodriguez is a supporting character in the Fifty Shades series, portrayed as Anastasia Steele’s friend and would-be suitor whose presence creates tension with Christian Grey.
-
C.
Jose Rodriguez
Jose Rodriguez is a fictional character portrayed by actor Victor Rasuk, best known from the film "Raising Victor Vargas."
-
D.
Lito Rodriguez
Lito Rodriguez is a closeted Mexican telenovela star and one of the eight psychically linked protagonists in the science fiction series Sense8.
-
E.
Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.