Triple
T5696974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Redford |
E125562
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lola Van Wagenen
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.
|
E539124
|
NE FINISHED |
How this triple was built (4 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: [Robert Redford, spouse, Lola Van Wagenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lola Van Wagenen Context triple: [Robert Redford, spouse, Lola Van Wagenen]
-
A.
Lola
Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
-
B.
Lola
Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
-
C.
Lola
Lola is the charismatic drag queen and performer who serves as the central catalyst for change in the musical and film "Kinky Boots."
-
D.
Lola Stone
Lola Stone is the sadistic, prom-obsessed teenage antagonist from the Australian horror film "The Loved Ones."
-
E.
Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lola Van Wagenen Triple: [Robert Redford, spouse, Lola Van Wagenen]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lola Van Wagenen Target entity description: 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.
-
A.
Lola
Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
-
B.
Lola
Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
-
C.
Lola
Lola is the charismatic drag queen and performer who serves as the central catalyst for change in the musical and film "Kinky Boots."
-
D.
Lola Stone
Lola Stone is the sadistic, prom-obsessed teenage antagonist from the Australian horror film "The Loved Ones."
-
E.
Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
- F. None of above. chosen
Provenance (5 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240d6c0c8190bf970c7652fd9573 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5996a08190860cb5fab57c31b5 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05b7b57d481909f830a6cf7f59c3e |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c2046c48190a5d100f2dfad8d7b |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.