Triple
T34559768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Edwardes |
E887303
|
entity |
| Predicate | characterNameUsedAs |
P13305
|
FINISHED |
| Object | false identity |
—
|
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: false identity | Statement: [Dr. Edwardes, characterNameUsedAs, false identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterNameUsedAs Context triple: [Dr. Edwardes, characterNameUsedAs, false identity]
-
A.
characterName
Indicates that an entity has a specific name used to identify its character.
-
B.
usedAsCharacterNameElement
Indicates that something functions as a component or element within a character’s name.
-
C.
nameUsedIn
chosen
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
D.
namedAfterFictionalCharacter
Indicates that one entity has been given its name in honor of, or derived from, a fictional character.
-
E.
characterGivenName
Indicates that a specified given (first) name is assigned to or borne by a particular character.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: May 1, 2026, 2:02 a.m.