Triple
T28305865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Spier |
E713843
|
entity |
| Predicate | supportsCharacterIn |
P127174
|
FINISHED |
| Object | navigating high school challenges |
—
|
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: navigating high school challenges | Statement: [Emily Spier, supportsCharacterIn, navigating high school challenges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCharacterIn Context triple: [Emily Spier, supportsCharacterIn, navigating high school challenges]
-
A.
supportsCharacterDifferences
Indicates that one entity accepts, encourages, or positively reinforces differences in traits, identities, or characteristics between characters.
-
B.
supportedByCharacter
Indicates that an entity receives backing, assistance, or endorsement from a specific character.
-
C.
supportsUnicode
Indicates that an entity is capable of correctly handling, storing, or displaying Unicode-encoded text.
-
D.
containsCompatibilityCharacters
Indicates that one entity includes or is associated with characters that are designated as compatibility characters relative to another encoding or standard.
-
E.
supportCharacter
chosen
Indicates that one entity provides assistance, backing, or reinforcement to another entity in performing an action or fulfilling a role.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_6a0082989e6c819099fea0e706332e37 |
completed | May 10, 2026, 1:05 p.m. |
| PD | Predicate disambiguation | batch_6a0081ed6a1481908baf472876e28db9 |
completed | May 10, 2026, 1:02 p.m. |
Created at: April 27, 2026, 11:37 p.m.