Triple
T1657712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. C. Penney |
E35837
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Penney
Penney is the surname of James Cash Penney, the American businessman who founded the J. C. Penney department store chain.
|
E187861
|
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: Penney | Statement: [J. C. Penney, familyName, Penney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penney Context triple: [J. C. Penney, familyName, Penney]
-
A.
Penny
Penny is the given name of American actress Penny Johnson Jerald, known for her roles in series such as "24" and "Star Trek: Deep Space Nine."
-
B.
Penny Wheep
Penny Wheep is a poetry collection by Scottish modernist writer Hugh MacDiarmid that reflects his innovative use of Scots language and exploration of national and social themes.
-
C.
Big Nickel
Big Nickel is a giant nine-metre-tall replica of a 1951 Canadian nickel and a famous roadside attraction located in Sudbury, Ontario.
-
D.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
E.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
- 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: Penney Triple: [J. C. Penney, familyName, Penney]
Generated description
Penney is the surname of James Cash Penney, the American businessman who founded the J. C. Penney department store chain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Penney Target entity description: Penney is the surname of James Cash Penney, the American businessman who founded the J. C. Penney department store chain.
-
A.
Penny
Penny is the given name of American actress Penny Johnson Jerald, known for her roles in series such as "24" and "Star Trek: Deep Space Nine."
-
B.
Penny Wheep
Penny Wheep is a poetry collection by Scottish modernist writer Hugh MacDiarmid that reflects his innovative use of Scots language and exploration of national and social themes.
-
C.
Big Nickel
Big Nickel is a giant nine-metre-tall replica of a 1951 Canadian nickel and a famous roadside attraction located in Sudbury, Ontario.
-
D.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
E.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a8d85f08190a50ade3f443b7703 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad68254a6081909c2222fd77dff648 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68a9769081908a0748b8d02b8379 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad692d61288190ad0c0265f49643ac |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:29 p.m.