Triple
T6329452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pickens |
E141941
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Picken
Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
|
E586742
|
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: Picken | Statement: [Pickens, hasVariant, Picken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picken Context triple: [Pickens, hasVariant, Picken]
-
A.
Pieck
Pieck is a German surname most notably associated with Wilhelm Pieck, the first and only president of the German Democratic Republic (East Germany).
-
B.
Pickersgill
Pickersgill is the surname of Mary Pickersgill, the American flag maker best known for sewing the large Star-Spangled Banner flag that flew over Fort McHenry during the War of 1812.
-
C.
Polton
Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
-
D.
Peck
Peck is the surname of Gregory Peck, the acclaimed American actor renowned for his roles in classic films such as "To Kill a Mockingbird."
-
E.
Peck
Peck is a small rural city located in Nez Perce County in the north-central region of the U.S. state of Idaho.
- 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: Picken Triple: [Pickens, hasVariant, Picken]
Generated description
Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Picken Target entity description: Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
-
A.
Pieck
Pieck is a German surname most notably associated with Wilhelm Pieck, the first and only president of the German Democratic Republic (East Germany).
-
B.
Pickersgill
Pickersgill is the surname of Mary Pickersgill, the American flag maker best known for sewing the large Star-Spangled Banner flag that flew over Fort McHenry during the War of 1812.
-
C.
Polton
Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
-
D.
Peck
Peck is the surname of Gregory Peck, the acclaimed American actor renowned for his roles in classic films such as "To Kill a Mockingbird."
-
E.
Peck
Peck is a small rural city located in Nez Perce County in the north-central region of the U.S. state of Idaho.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605be33b081908a88b14ffc9b7e45 |
completed | March 27, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6063391c08190be94743c4c326805 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.