Triple
T29239886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Shadow of Young Girls in Flower |
E741290
|
entity |
| Predicate | hasSeasideEpisodes |
P196176
|
FINISHED |
| Object | Balbec holiday |
—
|
LITERAL 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: Balbec holiday | Statement: [In the Shadow of Young Girls in Flower, hasSeasideEpisodes, Balbec holiday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasideEpisodes Context triple: [In the Shadow of Young Girls in Flower, hasSeasideEpisodes, Balbec holiday]
-
A.
hasEpisodes
Indicates that one entity (typically a series or show) contains or is composed of multiple episode entities.
-
B.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
C.
hasMilestoneEpisodes
Indicates that certain episodes within a series are designated as significant milestones or turning points in its progression.
-
D.
hasEpisodeList
Indicates that an entity is associated with a collection or sequence of episodes, typically ordered as a list.
-
E.
hasFlashSidewaysEpisodes
Indicates that the subject has episodes set in or featuring a "flash sideways" alternate timeline or reality.
- F. None of above. chosen
Provenance (4 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
| PDg | Predicate description generation | batch_69fe12a769c08190bc445d302d2e8f98 |
completed | May 8, 2026, 4:43 p.m. |
Created at: April 28, 2026, 12:30 p.m.