Triple
T28484722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micah Sanders |
E720796
|
entity |
| Predicate | helpsCharacters |
P129505
|
FINISHED |
| Object | other evolved humans |
—
|
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: other evolved humans | Statement: [Micah Sanders, helpsCharacters, other evolved humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsCharacters Context triple: [Micah Sanders, helpsCharacters, other evolved humans]
-
A.
helpsCharacterType
chosen
Indicates that one character type provides assistance or support to another character type.
-
B.
metCharacter
Indicates that one entity has encountered or been introduced to another entity at least once.
-
C.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
D.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
characters
Indicates that one entity is a character (or set of characters) associated with, appearing in, or belonging to another entity (such as a work, story, or medium).
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 2:57 a.m.