Triple
T14001640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirstie Alley |
E336838
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Kirstie |
E1073770
|
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: Kirstie | Statement: [Kirstie Alley, appearedIn, Kirstie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirstie Context triple: [Kirstie Alley, appearedIn, Kirstie]
-
A.
Kirstie
chosen
Kirstie is a feminine given name most famously associated with American actress Kirstie Alley.
-
B.
Katie Jane Evans
Katie Jane Evans was the wife of American actor and director Danny Huston, known primarily for her marriage to him before her untimely death.
-
C.
KristieAnne Reed
KristieAnne Reed is a television producer best known for her executive production work on crime and procedural drama series, including CSI: Vegas.
-
D.
Katie Forbes
Katie Forbes is an American professional wrestler and model best known for her work in promotions like Impact Wrestling and her high-profile relationship with fellow wrestler Rob Van Dam.
-
E.
Kirsten Smith
Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb652305c81908ea097d4f36a05c0 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.