Triple
T9759378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Caron |
E236630
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Michael Laughlin |
E347755
|
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: Michael Laughlin | Statement: [Leslie Caron, spouse, Michael Laughlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Laughlin Context triple: [Leslie Caron, spouse, Michael Laughlin]
-
A.
Michael Laughlin
chosen
Michael Laughlin was an American film producer, screenwriter, and director known for his work on cult and independent films in the 1970s and 1980s.
-
B.
Michael S. Timlin
Michael S. Timlin is a climatologist known for his role in developing the Multivariate ENSO Index used to monitor and analyze El Niño–Southern Oscillation variability.
-
C.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
D.
Michael P. Cahill
Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
-
E.
Michael J. Duthie
Michael J. Duthie is a publishing professional best known for serving as an editor of the periodical The Outpost.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32a5921c8819085a2188805b4811c |
completed | April 6, 2026, 3:36 a.m. |
Created at: March 30, 2026, 8:24 p.m.