Triple
T34964781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon |
E1008361
|
entity |
| Predicate | fictionalizedPortrayalOf |
P105134
|
FINISHED |
| Object | Lyndon B. Johnson |
—
|
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: Lyndon B. Johnson | Statement: [Lyndon, fictionalizedPortrayalOf, Lyndon B. Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalizedPortrayalOf Context triple: [Lyndon, fictionalizedPortrayalOf, Lyndon B. Johnson]
-
A.
fictionalPortrayalOf
Indicates that one entity is a fictional representation, depiction, or dramatization of another entity.
-
B.
fictionalizationOf
Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
-
C.
portraysFictionalized
chosen
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
D.
fictionalPortrayalSubject
Indicates that one entity is the subject or topic being portrayed, depicted, or represented in a fictional work by another entity.
-
E.
fictionalizationLevel
Indicates the degree to which an event, account, or representation has been altered, embellished, or invented relative to factual reality.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: May 3, 2026, 4 p.m.