Triple
T4687911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Act |
E103964
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Scott A. Hornbacher |
E268666
|
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: Scott A. Hornbacher | Statement: [The Act, executiveProducer, Scott A. Hornbacher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott A. Hornbacher Context triple: [The Act, executiveProducer, Scott A. Hornbacher]
-
A.
Scott Hornbacher
chosen
Scott Hornbacher is an American television producer and director best known for his work on the critically acclaimed series "Mad Men."
-
B.
Kent H. Smith
Kent H. Smith was an American businessman best known as the founder of the specialty chemicals company Lubrizol.
-
C.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
-
D.
Samuel Fisk
Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
-
E.
Peter Kornbluh
Peter Kornbluh is an American historian and investigative journalist known for his work on U.S. foreign policy and declassified government documents, particularly regarding Latin America.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b75e3481908aa27eeaeec490ca |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.