Triple
T14990417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Prada to Nada |
E373819
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Linda McDonough |
E961301
|
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: Linda McDonough | Statement: [From Prada to Nada, producer, Linda McDonough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda McDonough Context triple: [From Prada to Nada, producer, Linda McDonough]
-
A.
Linda McDonough
chosen
Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
-
B.
Nancy Burns
Nancy Burns is an American political scientist known for her influential research on political participation, gender, and civic engagement in the United States.
-
C.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
D.
Janet Leahy
Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
-
E.
Nancy Covey
Nancy Covey is an American music producer and tour manager known for organizing folk and world music events and for her long association with British singer-songwriter Richard Thompson.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d709fc8190990a72faf0af5ee3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 2:53 a.m.