Triple
T9090148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Beahan |
E217858
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | The Return |
E682767
|
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: The Return | Statement: [Kate Beahan, actedIn, The Return]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Return Context triple: [Kate Beahan, actedIn, The Return]
-
A.
The Return
"The Return" is a track from the collaborative Christmas-themed mixtape "Merry Christmas Lil Mama" by Chance the Rapper and Jeremih.
-
B.
The Return
"The Return" is an R&B album by American singer and American Idol winner Ruben Studdard, marking his comeback after earlier commercial success.
-
C.
The Return
"The Return" is a poem by Ezra Pound, notable for its imagist style and exploration of mythic figures fading from power.
-
D.
The Return
The Return is a work by the American author and podcaster Buzz Bissinger, best known for his narrative nonfiction and sports writing.
-
E.
The Return
chosen
The Return is a 2006 supernatural horror film starring Sarah Michelle Gellar as a troubled young woman haunted by disturbing visions tied to a past life and a small Texas town.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965971f88190acffbf204c11832b |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03007ed908190afd34cf3f32312e9 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:14 p.m.