Triple
T20184901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawndale High School |
E492827
|
entity |
| Predicate | replacesInNarrative |
P139019
|
FINISHED |
| Object | Daria’s former high school in Highland |
—
|
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: Daria’s former high school in Highland | Statement: [Lawndale High School, replacesInNarrative, Daria’s former high school in Highland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesInNarrative Context triple: [Lawndale High School, replacesInNarrative, Daria’s former high school in Highland]
-
A.
useInNarrative
Indicates that something is employed as an element or device within a narrative or story.
-
B.
narrativeShift
Indicates a change in the narrative perspective, time, focus, or structure within a story or discourse.
-
C.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
D.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
E.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f199688190a42094cce220f6f2 |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:36 p.m.