Triple
T11013605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Dusenberry |
E260303
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Cutter to Houston |
E900094
|
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: Cutter to Houston | Statement: [Ann Dusenberry, appearedIn, Cutter to Houston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cutter to Houston Context triple: [Ann Dusenberry, appearedIn, Cutter to Houston]
-
A.
Cutter to Houston
chosen
"Cutter to Houston" is a short-lived 1983 American medical drama television series set in a small Texas town, starring Ann Dusenberry among its lead cast.
-
B.
Southwest Houston
Southwest Houston is a large, diverse residential and commercial area of Houston, Texas, known for its mix of established neighborhoods, shopping centers, and multicultural communities.
-
C.
Will Houston
Will Houston is a British actor known for his roles in film and television, including a prominent appearance in the 2013 TV miniseries "The Bible."
-
D.
METRO (Houston)
METRO (Houston) is the public transportation authority serving the Houston metropolitan area, operating bus, light rail, and related transit services.
-
E.
Forney
Forney is a surname of German origin borne by various notable individuals, including engineers, politicians, and artists.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978b1e888190b297f107f6021b59 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a98725808190903639866a3e745f |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:25 p.m.