Triple
T13692839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Tirico |
E328310
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tirico |
E328310
|
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: Tirico | Statement: [Mike Tirico, familyName, Tirico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirico Context triple: [Mike Tirico, familyName, Tirico]
-
A.
Tirico
chosen
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
B.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
C.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
D.
Turriaco
Turriaco is a small Italian municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
E.
Tordino
Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4c52fc8190a93d05c24a8d1513 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.