Triple
T11605624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Pickford and Douglas Fairbanks |
E275250
|
entity |
| Predicate | placeOfResidence |
P75
|
FINISHED |
| Object |
Pickfair
Pickfair was the famed Beverly Hills estate of silent film stars Mary Pickford and Douglas Fairbanks, renowned as a glamorous social hub of early Hollywood.
|
E936976
|
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: Pickfair | Statement: [Mary Pickford and Douglas Fairbanks, placeOfResidence, Pickfair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pickfair Context triple: [Mary Pickford and Douglas Fairbanks, placeOfResidence, Pickfair]
-
A.
Proudie
Proudie is the surname of the fictional Bishop Proudie and his family in Anthony Trollope’s Barsetshire novels.
-
B.
Pervyse
Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
-
C.
Picken
Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
-
D.
Penelope Pitstop
Penelope Pitstop is a pink-clad, Southern-belle race car driver and damsel-in-distress heroine from Hanna-Barbera’s classic cartoon series.
-
E.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
- 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: Pickfair Triple: [Mary Pickford and Douglas Fairbanks, placeOfResidence, Pickfair]
Generated description
Pickfair was the famed Beverly Hills estate of silent film stars Mary Pickford and Douglas Fairbanks, renowned as a glamorous social hub of early Hollywood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pickfair Target entity description: Pickfair was the famed Beverly Hills estate of silent film stars Mary Pickford and Douglas Fairbanks, renowned as a glamorous social hub of early Hollywood.
-
A.
Proudie
Proudie is the surname of the fictional Bishop Proudie and his family in Anthony Trollope’s Barsetshire novels.
-
B.
Pervyse
Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
-
C.
Picken
Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
-
D.
Penelope Pitstop
Penelope Pitstop is a pink-clad, Southern-belle race car driver and damsel-in-distress heroine from Hanna-Barbera’s classic cartoon series.
-
E.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee871c3dbc8190922d125a04a9ee98 |
completed | April 26, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:38 p.m.