Triple
T36303782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superhuman Registration Act |
E893889
|
entity |
| Predicate | relatedStoryline |
P102058
|
FINISHED |
| Object | Civil War: Front Line |
E780880
|
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: Civil War: Front Line | Statement: [Superhuman Registration Act, relatedStoryline, Civil War: Front Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedStoryline Context triple: [Superhuman Registration Act, relatedStoryline, Civil War: Front Line]
-
A.
associatedTale
chosen
Indicates that one entity is linked or connected to a particular tale, story, or narrative.
-
B.
storylineRelative
Indicates that one narrative element is positioned in relation to another within a storyline, such as in sequence, importance, or structural role.
-
C.
relationshipCoverStory
Indicates that one relationship is being used as a cover or pretense to conceal the true nature of another relationship or situation.
-
D.
notableRecentStoryline
Indicates that there is a particularly significant or newsworthy recent sequence of events or developments involving the subject.
-
E.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
- F. None of above.
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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a397d842f1481908782c39664b5b68c |
completed | June 22, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.