Triple
T9683491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Murray Grieve |
E234345
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sangschaw |
E162631
|
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: Sangschaw | Statement: [Christopher Murray Grieve, notableWork, Sangschaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangschaw Context triple: [Christopher Murray Grieve, notableWork, Sangschaw]
-
A.
Sangschaw
chosen
Sangschaw is a notable early poetry collection by Scottish modernist poet Hugh MacDiarmid, written largely in Scots and central to the Scottish literary renaissance.
-
B.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
-
C.
Sangan
Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
-
D.
Sangisari
Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
-
E.
Sangaride
Sangaride is a mythological figure best known as the beloved of Atys in ancient legends and later operatic adaptations.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccf21a08190a1302b933b9e50be |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910192e88190b10409ae62c1c948 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.