Triple
T8512085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thora Hird |
E201478
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Thora |
E201478
|
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: Thora | Statement: [Thora Hird, givenName, Thora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thora Context triple: [Thora Hird, givenName, Thora]
-
A.
Atlakviða
Atlakviða is an Old Norse heroic poem from the Poetic Edda that recounts the tragic betrayal and violent downfall of the Burgundian (Gjúkungar) kings at the hands of Atli.
-
B.
Skaði
Skaði is a giantess and goddess in Norse mythology associated with skiing, winter, and mountains, known for her marriage to the god Njord.
-
C.
Þór
Þór is the Old Norse thunder god of Norse mythology, known for wielding the hammer Mjölnir and protecting gods and humans from giants.
-
D.
Hulda
Hulda is a feminine given name of Germanic origin, historically used in Scandinavian and German-speaking countries.
-
E.
Thora Hird
chosen
Thora Hird was a beloved English actress and comedian known for her extensive work in film, television, and theatre, particularly in British sitcoms and dramas.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60b0d4c8190812ddbc1c17389c8 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d2eef208190b505a64d01f656f4 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:15 p.m.