Triple
T13539331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sissy Rommely |
E323340
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Katie Rommely |
E320867
|
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: Katie Rommely | Statement: [Sissy Rommely, closeTo, Katie Rommely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Rommely Context triple: [Sissy Rommely, closeTo, Katie Rommely]
-
A.
Katie Rommely
chosen
Katie Rommely is the immigrant mother of the protagonist in Betty Smith’s novel "A Tree Grows in Brooklyn," later known by her married name Katie Nolan.
-
B.
Katie Newman
Katie Newman is a television producer best known for her executive production work on the NBC sitcom "Lopez vs Lopez."
-
C.
Katie Yeager
Katie Yeager is a reality television personality best known for appearing as one of the young mothers on MTV’s Teen Mom 3.
-
D.
Katie Antonius
Katie Antonius was the wife of Palestinian-Lebanese historian and diplomat George Antonius, noted within early 20th-century Arab intellectual and social circles.
-
E.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd7ad9481908fe1d7ffcf8fab71 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce5ecad88190b7c8236969d9abc7 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:45 p.m.