Triple
T9328685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Jones |
E224461
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jennifer Jones |
E224461
|
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: Jennifer Jones | Statement: [Jennifer Jones, name, Jennifer Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Jones Context triple: [Jennifer Jones, name, Jennifer Jones]
-
A.
Jennifer Jones
chosen
Jennifer Jones was an Academy Award–winning American actress known for her emotionally intense performances in classic films from the 1940s through the 1970s.
-
B.
Joan Greenwood
Joan Greenwood was a distinctive English actress renowned for her husky voice and roles in classic British films such as "Kind Hearts and Coronets" and "The Man in the White Suit."
-
C.
Jane Russell
Jane Russell was an American film actress and sex symbol of the 1940s and 1950s, best known for her sultry screen presence in Hollywood musicals and film noirs.
-
D.
Shirley Jones
Shirley Jones is an American actress and singer best known for her roles in classic musical films and as the matriarch in the television series "The Partridge Family."
-
E.
Karen O’Brien
Karen O’Brien is a British academic and university leader who serves as Vice-Chancellor of Durham University, overseeing its strategic direction and academic mission.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ab90ac8190b5c73f08dd091731 |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1220267848190a02d8c075726c97a |
completed | April 4, 2026, 2:36 p.m. |
Created at: March 30, 2026, 7:39 p.m.