Triple
T9814982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacey Pemberton |
E238378
|
entity |
| Predicate | popularityStatus |
P1755
|
FINISHED |
| Object | popular girl at school |
—
|
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: popular girl at school | Statement: [Lacey Pemberton, popularityStatus, popular girl at school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularityStatus Context triple: [Lacey Pemberton, popularityStatus, popular girl at school]
-
A.
popularityContext
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
-
B.
popularity
chosen
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
C.
popularityType
Indicates the specific category or nature of how popularity is characterized or measured in the relationship.
-
D.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
E.
cultPopularFrom
Indicates that something has gained or exhibits cult popularity originating from a particular source, context, or group.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:30 p.m.