Triple
T25183557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanderer |
E630650
|
entity |
| Predicate | hasConflictingIdentityWith |
P13304
|
FINISHED |
| Object | Melanie Stryder |
—
|
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: Melanie Stryder | Statement: [Wanderer, hasConflictingIdentityWith, Melanie Stryder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConflictingIdentityWith Context triple: [Wanderer, hasConflictingIdentityWith, Melanie Stryder]
-
A.
hasAmbiguousIdentity
Indicates that an entity’s identity is unclear, uncertain, or can be interpreted in multiple distinct ways.
-
B.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
C.
hasMultipleIdentities
Indicates that a single entity is associated with more than one distinct identity or persona.
-
D.
hasDistinctIdentity
Indicates that an entity possesses its own unique, distinguishable identity separate from other entities.
-
E.
hasDisputedIdentityWith
chosen
Indicates that two entities are associated with conflicting, uncertain, or contested identifications, such that their true or correct identities are in dispute relative to each other.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 21, 2026, 12:36 p.m.