Triple
T14031885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruz Beckham |
E337609
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Cruz |
E337609
|
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: Cruz | Statement: [Cruz Beckham, hasGivenName, Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cruz Context triple: [Cruz Beckham, hasGivenName, Cruz]
-
A.
Cruz
chosen
Cruz is a given name notably borne by Cruz Beckham, the son of David and Victoria Beckham.
-
B.
Cruz Bustamante
Cruz Bustamante is an American Democratic politician who served as California’s first Latino lieutenant governor in over a century.
-
C.
Panfilo
Panfilo is a masculine given name of Spanish and Italian origin, historically borne by various religious figures and characters in literature.
-
D.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
-
E.
Vance
Vance is a central character in the American television sitcom "Perfect Couples," known for his volatile yet comedic romantic relationship dynamics.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc337a5cc8190953b84255a401ada |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.