Triple
T31719527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridget Strand |
E809533
|
entity |
| Predicate | likenessBasedOn |
P2004
|
FINISHED |
| Object | Lindsay Wagner |
—
|
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: Lindsay Wagner | Statement: [Bridget Strand, likenessBasedOn, Lindsay Wagner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likenessBasedOn Context triple: [Bridget Strand, likenessBasedOn, Lindsay Wagner]
-
A.
depictionBasedOn
Indicates that one depiction is created using another work, image, or representation as its source or reference.
-
B.
modeledBy
Indicates that one entity serves as a model or representation of another, typically capturing its structure, behavior, or properties.
-
C.
nicknameModelledOn
Indicates that one entity’s nickname is based on, inspired by, or patterned after another entity.
-
D.
characterBasedOn
chosen
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
E.
isModelledAfter
Indicates that one entity is created, designed, or structured based on the form, features, or principles of another entity.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf6aa908190b2c0f3a76353f486 |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:18 p.m.