Triple
T24722045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can’t Be Friends |
E612329
|
entity |
| Predicate | hasUnverifiedWritingCreditClaim |
P157200
|
FINISHED |
| Object | Johntá Austin |
—
|
NE NERFINISHED |
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: Johntá Austin | Statement: [Can’t Be Friends, hasUnverifiedWritingCreditClaim, Johntá Austin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnverifiedWritingCreditClaim Context triple: [Can’t Be Friends, hasUnverifiedWritingCreditClaim, Johntá Austin]
-
A.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
B.
usedToClaim
Indicates that something is employed as evidence, justification, or support in making a particular claim.
-
C.
hasClaimOn
Indicates that one entity holds a right, entitlement, or demand over another entity or its resources.
-
D.
hasSignatureCredit
Indicates that an entity possesses or is associated with a recognized signature-based credit or endorsement.
-
E.
hasCanonicalCredit
Indicates that a particular credit entry is the primary or officially recognized attribution for a work or contribution.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f422add8508190a76e56cfa756eeb8 |
completed | May 1, 2026, 3:49 a.m. |
Created at: April 18, 2026, 3:41 a.m.