Triple
T15165428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laughing Matter |
E362326
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Evening Star |
E96608
|
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: Evening Star | Statement: [Laughing Matter, hasPart, Evening Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evening Star Context triple: [Laughing Matter, hasPart, Evening Star]
-
A.
Evening Star
chosen
"Evening Star" is a song featured on the 1983 country album *Eyes That See in the Dark* by Kenny Rogers.
-
B.
The Evening Star
The Evening Star is a 1996 American comedy-drama film that serves as a sequel to Terms of Endearment, continuing the story of Aurora Greenway and her family.
-
C.
The Evening Star
The Evening Star was the original name of the major Canadian daily newspaper now known as the Toronto Star.
-
D.
The Evening Light
The Evening Light is a celebrated poetry collection by Russian poet Arseny Tarkovsky, known for its contemplative, lyrical meditations on time, memory, and existence.
-
E.
Bright and Morning Star
"Bright and Morning Star" is a powerful short story by Richard Wright that portrays racial injustice and a Black mother's courageous resistance in the Jim Crow South.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec885d68c8190999529b69bc34fec |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.