Triple
T26888898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Wanted Wings |
E677118
|
entity |
| Predicate | featuresEarlyAppearanceBy |
P191773
|
FINISHED |
| Object | Veronica Lake |
—
|
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: Veronica Lake | Statement: [I Wanted Wings, featuresEarlyAppearanceBy, Veronica Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEarlyAppearanceBy Context triple: [I Wanted Wings, featuresEarlyAppearanceBy, Veronica Lake]
-
A.
featuresEarlyVersionOf
Indicates that something includes or presents an earlier or preliminary version of another thing.
-
B.
featuresSign
Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
-
C.
featuresRepresentationOf
Indicates that one entity visually or symbolically depicts, portrays, or includes a representation of another entity.
-
D.
featuresReturnOf
Indicates that something (such as a work, event, or product) includes or highlights the comeback or reappearance of a person, character, element, or feature.
-
E.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
- F. None of above. chosen
Provenance (4 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: April 27, 2026, 5:43 a.m.