Triple
T11622711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Spruce |
E276177
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Spruce
Spruce is a surname of English origin borne by various individuals, including Stephanie Spruce.
|
E938203
|
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: Spruce | Statement: [Stephanie Spruce, familyName, Spruce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spruce Context triple: [Stephanie Spruce, familyName, Spruce]
-
A.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
B.
Engelmann spruce
Engelmann spruce is a high-elevation North American coniferous tree species known for forming dense subalpine forests in the Rocky Mountains and other western mountain ranges.
-
C.
Norway spruce
The Norway spruce is a large, fast-growing evergreen conifer native to northern and central Europe, widely known for its use as a timber tree and traditional Christmas tree.
-
D.
Beech
Beech is a small rural village and civil parish in East Hampshire, England, known for its wooded surroundings and residential character.
-
E.
Tamarack
Tamarack is a renowned artisan and cultural center in Beckley, West Virginia, showcasing and selling locally made crafts, art, and regional cuisine.
- 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: Spruce Triple: [Stephanie Spruce, familyName, Spruce]
Generated description
Spruce is a surname of English origin borne by various individuals, including Stephanie Spruce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spruce Target entity description: Spruce is a surname of English origin borne by various individuals, including Stephanie Spruce.
-
A.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
B.
Engelmann spruce
Engelmann spruce is a high-elevation North American coniferous tree species known for forming dense subalpine forests in the Rocky Mountains and other western mountain ranges.
-
C.
Norway spruce
The Norway spruce is a large, fast-growing evergreen conifer native to northern and central Europe, widely known for its use as a timber tree and traditional Christmas tree.
-
D.
Beech
Beech is a small rural village and civil parish in East Hampshire, England, known for its wooded surroundings and residential character.
-
E.
Tamarack
Tamarack is a renowned artisan and cultural center in Beckley, West Virginia, showcasing and selling locally made crafts, art, and regional cuisine.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8762586481909a4b563c827487e0 |
completed | April 26, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69eeb310e04c8190a1004662d5bbc015 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee95dfff48190a3c3022cdfc6dafc |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.