Triple
T13118229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Romano |
E311151
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Gregory Romano |
E311152
|
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: Gregory Romano | Statement: [Anna Romano, hasChild, Gregory Romano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory Romano Context triple: [Anna Romano, hasChild, Gregory Romano]
-
A.
Gregory Romano
chosen
Gregory Romano is one of the sons of American comedian and actor Ray Romano.
-
B.
Matthew Romano
Matthew Romano is one of the sons of American comedian and actor Ray Romano, known for occasionally appearing with his father in public and media contexts.
-
C.
Joseph Romano
Joseph Romano is an individual known primarily as the sibling of Alex Romano.
-
D.
Gregory Tsamblak
Gregory Tsamblak was a medieval Orthodox cleric, writer, and scholar of Bulgarian origin who became a prominent church leader and man of letters in the Slavic world.
-
E.
Charles Nicoletti
Charles Nicoletti was a Chicago mob hitman associated with the Chicago Outfit and reputed to be one of its most feared enforcers during the mid-20th century.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0683b90819098864f73b6976517 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 9, 2026, 9:06 p.m.