Triple
T8851520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheryl Lee Ralph |
E210648
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ralph |
E680280
|
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: Ralph | Statement: [Sheryl Lee Ralph, familyName, Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Context triple: [Sheryl Lee Ralph, familyName, Ralph]
-
A.
Ralph
Ralph is a supporting character in the 1984 adventure-romance film "Romancing the Stone," known for his involvement in the story’s treasure-hunting escapades.
-
B.
Ralph
Ralph is a masculine given name of Old Norse origin, commonly used in English-speaking countries.
-
C.
Ralph
Ralph is the central protagonist of the film "The Other Man," around whom the story’s primary conflict and emotional drama revolve.
-
D.
Ralph
Ralph is the first name of legendary American NASCAR driver Dale Earnhardt.
-
E.
Ralph
chosen
Ralph is a surname of English origin that has been borne by various notable individuals across different fields.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.