Triple
T15296880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Pender |
E365682
|
entity |
| Predicate | disillusionedWith |
P94319
|
FINISHED |
| Object | Hollywood screenwriting |
—
|
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: Hollywood screenwriting | Statement: [Gil Pender, disillusionedWith, Hollywood screenwriting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disillusionedWith Context triple: [Gil Pender, disillusionedWith, Hollywood screenwriting]
-
A.
disillusionedBy
chosen
Indicates that one entity has lost trust, faith, or idealistic belief as a result of the actions, behavior, or nature of another entity.
-
B.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
C.
disapprovedOf
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
-
D.
upset
Indicates that one entity causes another to feel distressed, unhappy, or emotionally disturbed.
-
E.
betrayed
Indicates that one entity has broken the trust, loyalty, or confidence of another, typically by acting against their interests or revealing something meant to be kept secret.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.