Triple
T13236032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover Come Back |
E315148
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Paul Henning |
E330769
|
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: Paul Henning | Statement: [Lover Come Back, screenwriter, Paul Henning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Henning Context triple: [Lover Come Back, screenwriter, Paul Henning]
-
A.
Paul Henning
chosen
Paul Henning was an American television and film writer-producer best known for creating the classic sitcom "The Beverly Hillbillies" and shaping 1960s rural comedy on TV.
-
B.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
C.
Lloyd Hansen
Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
-
D.
Joseph Flummerfelt
Joseph Flummerfelt was an acclaimed American choral conductor and educator, best known for his long association with the Westminster Choir and major orchestras and festivals around the world.
-
E.
Larry Bryggman
Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546e0b148190a78e6da408347690 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:22 p.m.