Triple
T1749722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Taylor |
E38411
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | E. L. James |
E49814
|
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: E. L. James | Statement: [Jason Taylor, createdBy, E. L. James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E. L. James Context triple: [Jason Taylor, createdBy, E. L. James]
-
A.
E. L. James
chosen
E. L. James is a British author best known for writing the bestselling erotic romance trilogy "Fifty Shades of Grey."
-
B.
Sara Lowndes
Sara Lowndes is an American former model and artist best known as the first wife of musician Bob Dylan and the mother of several of his children.
-
C.
Julie Cooper
Julie Cooper is a central character in the 1970s–80s American sitcom "One Day at a Time," portrayed as one of Ann Romano’s teenage daughters navigating family and personal challenges.
-
D.
Stephenie Meyer
Stephenie Meyer is an American author best known for writing the hugely popular Twilight vampire romance series, which was adapted into a successful film franchise.
-
E.
Valeria Wasserman
Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64108a208190ae7190065818e42c |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada989b368819098b788d099f2f8e4 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.