Triple
T16674416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylarking |
E405181
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Grass |
E82335
|
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: Grass | Statement: [Skylarking, hasPart, Grass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grass Context triple: [Skylarking, hasPart, Grass]
-
A.
Grass
chosen
Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
-
B.
Grass
"Grass" is a renowned poem by Carl Sandburg that uses the image of grass covering battlefields to reflect on war, memory, and collective forgetting.
-
C.
Wallagrass
Wallagrass is a small rural town in Aroostook County, northern Maine, known for its forested landscape and outdoor recreation.
-
D.
Brown Grass
"Brown Grass" is a soulful jazz track by Gregory Porter from his acclaimed album "Liquid Spirit."
-
E.
Silk Grass
Silk Grass is a small village in Belize’s Stann Creek District, known for its rural setting and proximity to the country’s coastal and rainforest attractions.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3ab8b481908b333b6a556a58d5 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.