Triple
T12542854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallmark Channel |
E299885
|
entity |
| Predicate | notableProgrammingEvent |
P105803
|
FINISHED |
| Object |
Fall Harvest
Fall Harvest is a seasonal programming event on Hallmark Channel featuring original autumn-themed romantic movies and specials.
|
E990145
|
NE FINISHED |
How this triple was built (4 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: Fall Harvest | Statement: [Hallmark Channel, notableProgrammingEvent, Fall Harvest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Harvest Context triple: [Hallmark Channel, notableProgrammingEvent, Fall Harvest]
-
A.
Fall
"Fall" is a song by the American R&B duo Chloe x Halle, showcasing their soulful harmonies and introspective songwriting.
-
B.
Fall
Fall is the surname of American rapper and basketball player Sheck Wes, known for his breakout hit "Mo Bamba."
-
C.
Fall
"Fall" is a globally popular Afrobeats song by Nigerian artist Davido, known for its catchy melody and significant international chart success.
-
D.
Harvest Time
"Harvest Time" is a country song featured on Luke Bryan's album "Tailgates & Tanlines," celebrating rural farm life and the hard work of harvest season.
-
E.
Herbst
Herbst is a German-language surname borne by various individuals, including those of German or Central European origin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fall Harvest Triple: [Hallmark Channel, notableProgrammingEvent, Fall Harvest]
Generated description
Fall Harvest is a seasonal programming event on Hallmark Channel featuring original autumn-themed romantic movies and specials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fall Harvest Target entity description: Fall Harvest is a seasonal programming event on Hallmark Channel featuring original autumn-themed romantic movies and specials.
-
A.
Fall
"Fall" is a song by the American R&B duo Chloe x Halle, showcasing their soulful harmonies and introspective songwriting.
-
B.
Fall
Fall is the surname of American rapper and basketball player Sheck Wes, known for his breakout hit "Mo Bamba."
-
C.
Fall
"Fall" is a globally popular Afrobeats song by Nigerian artist Davido, known for its catchy melody and significant international chart success.
-
D.
Harvest Time
"Harvest Time" is a country song featured on Luke Bryan's album "Tailgates & Tanlines," celebrating rural farm life and the hard work of harvest season.
-
E.
Herbst
Herbst is a German-language surname borne by various individuals, including those of German or Central European origin.
- F. None of above. chosen
Provenance (5 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557e6d4c81909ed54a039e92a160 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566f40c08190baec227fb660c948 |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65799ca588190b9f7a07f5c1a842c |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:57 p.m.