Triple
T18523940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Lopez-Fitzgerald |
E452664
|
entity |
| Predicate | hasMajorStoryline |
P39504
|
FINISHED |
| Object | romance with Sheridan Crane |
—
|
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: romance with Sheridan Crane | Statement: [Luis Lopez-Fitzgerald, hasMajorStoryline, romance with Sheridan Crane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorStoryline Context triple: [Luis Lopez-Fitzgerald, hasMajorStoryline, romance with Sheridan Crane]
-
A.
hasStorylineType
Indicates that an entity’s storyline belongs to or is categorized under a specific type or narrative classification.
-
B.
hasMainPlotElement
Indicates that one entity serves as a central or primary plot element within the narrative of another entity.
-
C.
notableStoryArc
chosen
Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
-
D.
hasModernDayStoryline
Indicates that the work’s narrative is set in, or primarily takes place during, contemporary or present-day times.
-
E.
firstMajorStoryArc
Indicates that the related entity represents the initial or earliest major story arc associated with another narrative work or series.
- F. None of above.
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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.