Triple
T12146850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Harris |
E289346
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Kira in The Faculty |
E747460
|
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: Kira in The Faculty | Statement: [Laura Harris, portrayed, Kira in The Faculty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kira in The Faculty Context triple: [Laura Harris, portrayed, Kira in The Faculty]
-
A.
Kira Davis
Kira Davis is a film producer best known for her work on the acclaimed thriller "Prisoners."
-
B.
Kira
Kira is a rapidly growing urban municipality in central Uganda that functions as a major residential and commercial hub near Kampala.
-
C.
Kira
chosen
Kira is a feminine given name used in various cultures, often associated with figures in literature, film, and popular media.
-
D.
Daria
Daria is an animated television series centered on the intelligent, sarcastic teenager Daria Morgendorffer as she navigates high school life with deadpan wit and social commentary.
-
E.
Daria
Daria is a central female character in Mikhail Sholokhov’s epic novel "And Quiet Flows the Don," whose passionate and tragic life reflects the turmoil of Cossack society during World War I and the Russian Civil War.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ac2ebc81909155f9b2fb4a2252 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f696ec648190aa43655ac8a2b312 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.