Triple
T7007746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wayne |
E162499
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Pilar Pallete
Pilar Pallete is a Peruvian actress best known as the third wife of American film star John Wayne.
|
E635785
|
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: Pilar Pallete | Statement: [John Wayne, spouse, Pilar Pallete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilar Pallete Context triple: [John Wayne, spouse, Pilar Pallete]
-
A.
Paloma
Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
-
B.
Paloma
Paloma is a popular Mexican tequila-based cocktail typically made with grapefruit soda or juice and lime, known for its refreshing, citrusy flavor.
-
C.
Roses Periago
Roses Periago is the surname of Mirta Roses Periago, an Argentine epidemiologist and former Director of the Pan American Health Organization.
-
D.
Elizabeth Pomada
Elizabeth Pomada is an American author and historian best known for popularizing San Francisco’s colorful Victorian houses through her influential work on the “Painted Ladies.”
-
E.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
- 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: Pilar Pallete Triple: [John Wayne, spouse, Pilar Pallete]
Generated description
Pilar Pallete is a Peruvian actress best known as the third wife of American film star John Wayne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pilar Pallete Target entity description: Pilar Pallete is a Peruvian actress best known as the third wife of American film star John Wayne.
-
A.
Paloma
Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
-
B.
Paloma
Paloma is a popular Mexican tequila-based cocktail typically made with grapefruit soda or juice and lime, known for its refreshing, citrusy flavor.
-
C.
Roses Periago
Roses Periago is the surname of Mirta Roses Periago, an Argentine epidemiologist and former Director of the Pan American Health Organization.
-
D.
Elizabeth Pomada
Elizabeth Pomada is an American author and historian best known for popularizing San Francisco’s colorful Victorian houses through her influential work on the “Painted Ladies.”
-
E.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc36e3fc8190957445132a9ffb5f |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a43c3a081909b9150d36ba107f5 |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b3c87708190a04c48c41bb9904b |
completed | March 28, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76bb8c7788190bf54b805f651e28e |
completed | March 28, 2026, 5:48 a.m. |
Created at: March 27, 2026, 2:33 p.m.