Triple
T5897122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cori Broadus |
E131126
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cori |
E337688
|
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: Cori | Statement: [Cori Broadus, givenName, Cori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cori Context triple: [Cori Broadus, givenName, Cori]
-
A.
Cori
chosen
Cori is a historic hilltop town in central Italy’s Lazio region, known for its ancient temples, medieval architecture, and wine production.
-
B.
Corrigan
Corrigan is an Irish-origin surname borne by numerous notable figures in fields such as religion, politics, sports, and entertainment.
-
C.
Naoma
Naoma is an unincorporated community and coal-mining town located in Raleigh County, West Virginia, United States.
-
D.
Cory
Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
-
E.
Colleen
Colleen is a feminine given name of Irish origin, commonly used in English-speaking countries.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f65c1c819084cb90662af6e114 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b159cb908190b78b78d1e854212b |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.