Triple
T13956274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Meyers |
E335668
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lisa Meyers |
E335668
|
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: Lisa Meyers | Statement: [Lisa Meyers, name, Lisa Meyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Meyers Context triple: [Lisa Meyers, name, Lisa Meyers]
-
A.
Lisa Meyers
chosen
Lisa Meyers is an American attorney best known as the longtime wife of singer-songwriter and actor Kris Kristofferson.
-
B.
Jennifer Meyer
Jennifer Meyer is an American jewelry designer known for her eponymous fine jewelry line and her marriage to actor Tobey Maguire.
-
C.
Lisa Reisert
Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
-
D.
Meg Myers
Meg Myers is an American singer-songwriter known for her intense, emotionally charged alternative rock and dark pop music.
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7d44d848190ab445833e64a6bfc |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:17 p.m.