Triple
T17101850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spynie Palace |
E414997
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object |
Spynie
Spynie is a small settlement in Moray, Scotland, historically associated with the nearby medieval Spynie Palace.
|
E1251669
|
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: Spynie | Statement: [Spynie Palace, nearSettlement, Spynie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spynie Context triple: [Spynie Palace, nearSettlement, Spynie]
-
A.
Spiez
Spiez is a picturesque Swiss town in the Bernese Oberland, known for its lakeside setting, historic castle, and views of the surrounding Alps.
-
B.
Spinario
Spinario is an ancient Roman bronze sculpture depicting a boy removing a thorn from his foot, celebrated for its naturalistic detail and emotional realism.
-
C.
Spiner
Spiner is the surname of American actor Brent Spiner, best known for portraying the android Data in the Star Trek franchise.
-
D.
Skully
Skully is a small, talkative green parrot who serves as a lookout and helpful companion to the young pirate crew in the children's animated series "Jake and the Never Land Pirates."
-
E.
Speegle
Speegle is the maiden surname of American character actress Jean Speegle Howard, mother of filmmaker Ron Howard.
- 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: Spynie Triple: [Spynie Palace, nearSettlement, Spynie]
Generated description
Spynie is a small settlement in Moray, Scotland, historically associated with the nearby medieval Spynie Palace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spynie Target entity description: Spynie is a small settlement in Moray, Scotland, historically associated with the nearby medieval Spynie Palace.
-
A.
Spiez
Spiez is a picturesque Swiss town in the Bernese Oberland, known for its lakeside setting, historic castle, and views of the surrounding Alps.
-
B.
Spinario
Spinario is an ancient Roman bronze sculpture depicting a boy removing a thorn from his foot, celebrated for its naturalistic detail and emotional realism.
-
C.
Spiner
Spiner is the surname of American actor Brent Spiner, best known for portraying the android Data in the Star Trek franchise.
-
D.
Skully
Skully is a small, talkative green parrot who serves as a lookout and helpful companion to the young pirate crew in the children's animated series "Jake and the Never Land Pirates."
-
E.
Speegle
Speegle is the maiden surname of American character actress Jean Speegle Howard, mother of filmmaker Ron Howard.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc239a088190a776fe0f4361ffc7 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139fdda488190a1ca5c7ca875e044 |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013c4c0e6c8190a66fdee15f928444 |
completed | May 11, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013cc0559881909a903ee05562b658 |
completed | May 11, 2026, 2:19 a.m. |
Created at: April 10, 2026, 5:35 a.m.