Triple
T8778200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtis Craig |
E208651
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Curtis |
E22875
|
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: Curtis | Statement: [Curtis Craig, hasGivenName, Curtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curtis Context triple: [Curtis Craig, hasGivenName, Curtis]
-
A.
Curtis
chosen
Curtis is a common English surname of Norman origin, historically meaning "courteous" or "polite."
-
B.
Curt
Curt Schilling is a former Major League Baseball pitcher best known for his postseason performances and World Series titles with the Arizona Diamondbacks and Boston Red Sox.
-
C.
Jake Curtis
Jake Curtis is a British filmmaker and photographer, known as the son of screenwriter-director Richard Curtis and broadcaster Emma Freud.
-
D.
Garrett
Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
-
E.
Rey Curtis
Rey Curtis is a principled yet often rigid NYPD detective on the television series "Law & Order," known for his strong moral convictions and partnership with veteran detective Lennie Briscoe.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f51b3d48190b542a0423d3938e0 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51d69af481909245ca327f36e9c2 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:42 p.m.