Triple
T15895892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginni Rometty |
E385450
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rometty |
E385450
|
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: Rometty | Statement: [Ginni Rometty, familyName, Rometty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rometty Context triple: [Ginni Rometty, familyName, Rometty]
-
A.
Rometty
chosen
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
-
B.
Romm
Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
-
C.
Rommen
Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
-
D.
Rumuola
Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
-
E.
Dea Roma
Dea Roma is the personified goddess of the city of Rome and the Roman state, embodying its power, virtues, and imperial identity in ancient Roman religion and art.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15638f5bc81908de13f4b6a52b60c |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.