Triple
T11464887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show People |
E271753
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Agnes Christine Johnston |
E528231
|
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: Agnes Christine Johnston | Statement: [Show People, screenplayBy, Agnes Christine Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnes Christine Johnston Context triple: [Show People, screenplayBy, Agnes Christine Johnston]
-
A.
Agnes Christine Johnston
chosen
Agnes Christine Johnston was an American screenwriter active during the early to mid-20th century, known for her work on numerous Hollywood films.
-
B.
Agnes Ramsay
Agnes Ramsay was a notable member of the Ramsay family, recognized for bearing the Ramsay surname in historical records.
-
C.
Agnes Syme
Agnes Syme was the wife of pioneering British surgeon and antiseptic surgery innovator Joseph Lister.
-
D.
Agnes Smith
Agnes Smith is the daughter of Mrs. Anna Smith.
-
E.
Agnes Johansen
Agnes Johansen is a television producer best known for her executive production work on the Norwegian-American crime comedy-drama series "Lilyhammer."
- 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_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.