Triple
T17688120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polly Cutler |
E440948
|
entity |
| Predicate | marriedTo |
P13
|
FINISHED |
| Object | Ray Cutler |
E440949
|
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: Ray Cutler | Statement: [Polly Cutler, marriedTo, Ray Cutler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Cutler Context triple: [Polly Cutler, marriedTo, Ray Cutler]
-
A.
Ray Cutler
chosen
Ray Cutler is a fictional honeymooning husband who becomes entangled in a dangerous love triangle and murder plot in the 1953 film noir thriller "Niagara."
-
B.
Phil Housley
Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
-
C.
Doug Stegmeyer
Doug Stegmeyer was an American bass guitarist best known for his long-time work with Billy Joel, contributing to several of Joel’s classic albums and tours.
-
D.
Greg Latter
Greg Latter is a screenwriter best known for his work on the apartheid-era drama film "Goodbye Bafana."
-
E.
Geoff Diehl
Geoff Diehl is an American Republican politician from Massachusetts who served in the state legislature and ran as his party’s nominee for U.S. Senate in 2018.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704944d8819089b153aa14839fc0 |
completed | April 19, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02233002b881909f956196fe29c580 |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 10:03 a.m.