Triple
T12116931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlito |
E288589
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Carlitos |
E288587
|
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: Carlitos | Statement: [Carlito, hasRelatedName, Carlitos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlitos Context triple: [Carlito, hasRelatedName, Carlitos]
-
A.
Carlitos
chosen
Carlitos is a Spanish diminutive form of the given name Carlos, often used as an affectionate nickname.
-
B.
Juan Rico
Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
-
C.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
D.
Bautista
Bautista is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
-
E.
Carlos Reyes
Carlos Reyes is a fictional Austin police officer and key ensemble character in the television drama series "9-1-1: Lone Star."
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67f9c30819089305d5d42210c34 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.