Triple
T8530450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea Thompson |
E201931
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Howard Deutch |
E477250
|
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: Howard Deutch | Statement: [Lea Thompson, spouse, Howard Deutch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Deutch Context triple: [Lea Thompson, spouse, Howard Deutch]
-
A.
Howard Deutch
chosen
Howard Deutch is an American film and television director best known for helming several iconic 1980s John Hughes films, including "Pretty in Pink" and "Some Kind of Wonderful."
-
B.
Richard J. Lewis
Richard J. Lewis is an author known for his collaborative work with mathematician Richard K. Guy, particularly in the field of recreational mathematics.
-
C.
Paul Margulies
Paul Margulies was an American advertising executive and writer, best known as the father of actress Julianna Margulies.
-
D.
Brett Cullen
Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
-
E.
Jeffrey Seller
Jeffrey Seller is a prominent American theatrical producer best known for bringing groundbreaking Broadway musicals like "Hamilton," "Rent," and "Avenue Q" to the stage.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67546248190b359c845c0161ad3 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d68d14c81908bde8ca0113f9503 |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:17 p.m.