Triple
T16416438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilda Morley |
E398696
|
entity |
| Predicate | hasPublication |
P80
|
FINISHED |
| Object | Cloudless at First |
E1211403
|
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: Cloudless at First | Statement: [Hilda Morley, hasPublication, Cloudless at First]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloudless at First Context triple: [Hilda Morley, hasPublication, Cloudless at First]
-
A.
Cloudless at First
chosen
Cloudless at First is a poetry collection by American modernist poet Hilda Morley, reflecting her lyrical, emotionally resonant style.
-
B.
Cloudless
"Cloudless" is a song featured on Peter Gabriel's album "Long Walk Home," known for its atmospheric, cinematic soundscapes.
-
C.
The Clear Day
"The Clear Day" is a celebrated poetry collection by Russian poet Arseny Tarkovsky, known for its introspective lyricism and philosophical depth.
-
D.
Clouds of May
Clouds of May is a contemplative Turkish drama film by Nuri Bilge Ceylan that explores rural life, family relationships, and the passage of time through a quiet, observational style.
-
E.
Many Clouds
Many Clouds was a British Thoroughbred racehorse best known for winning the 2015 Grand National and establishing himself as one of the leading staying chasers of his era.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457f60c081908f4e46993780ac09 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.