Triple
T21836144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola Van Wagenen |
E539124
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lola Van Wagenen |
—
|
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: Lola Van Wagenen | Statement: [Lola Van Wagenen, name, Lola Van Wagenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lola Van Wagenen Context triple: [Lola Van Wagenen, name, Lola Van Wagenen]
-
A.
Lola Van Wagenen
chosen
Lola Van Wagenen is an American historian, activist, and co-founder of the consumer education organization Consumer Action Now, known also for her longtime marriage to actor Robert Redford.
-
B.
Lola Burr
Lola Burr is the daughter of American stand-up comedian and actor Bill Burr and his wife, producer and writer Nia Renee Hill.
-
C.
Lola
"Lola" is a 1970 rock song by The Kinks, famous for its catchy melody and narrative about a romantic encounter that plays with themes of gender identity and ambiguity.
-
D.
Lola
Lola is the seductive, devilish femme fatale character in the musical "Damn Yankees," known for her show-stopping number "Whatever Lola Wants."
-
E.
Lola
Lola is a character featured in the musical "The Origin of Love," likely serving as a significant figure within its narrative about love and identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a7c368819094e0c4548be30798 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.