Triple
T15039564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce Gladwell |
E378563
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joyce Gladwell |
E378563
|
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: Joyce Gladwell | Statement: [Joyce Gladwell, name, Joyce Gladwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joyce Gladwell Context triple: [Joyce Gladwell, name, Joyce Gladwell]
-
A.
Joyce Gladwell
chosen
Joyce Gladwell is a Jamaican-born psychotherapist and memoirist best known as the mother of author Malcolm Gladwell and for her influential book "Brown Face, Big Master."
-
B.
Joyce Vander Wagen
Joyce Vander Wagen is the former wife of American billionaire businessman and entrepreneur Wayne Huizenga.
-
C.
Joyce Heath
Joyce Heath is the troubled, self-destructive former stage star at the center of the 1935 Bette Davis film "Dangerous."
-
D.
Joyce Johnston
Joyce Johnston is known as the wife of American record producer Bob Johnston, who worked with major artists such as Bob Dylan and Johnny Cash.
-
E.
Joyce Vogel
Joyce Vogel is an individual notable enough to be recognized as a significant bearer of the surname Vogel.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de1c3a48190a9b3959a95627175 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.