Triple
T11465930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romulus Linney |
E271779
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Linney |
E271770
|
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: Linney | Statement: [Romulus Linney, familyName, Linney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linney Context triple: [Romulus Linney, familyName, Linney]
-
A.
Linney
chosen
Linney is the surname of American actress Laura Linney, known for her acclaimed work in film, television, and theater.
-
B.
Kinnear
Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
-
C.
Chaville
Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
-
D.
Linden Ashby
Linden Ashby is an American actor best known for his roles in films like Mortal Kombat and television series such as Melrose Place and Teen Wolf.
-
E.
Lynn
Lynn was the original name of what is now known as King’s Lynn railway station in Norfolk, England.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60415f6ac8190ad81ed0ef0a30e12 |
completed | April 20, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:35 p.m.