Triple
T13114812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federated Department Stores |
E311065
|
entity |
| Predicate | operated |
P1688
|
FINISHED |
| Object |
Sanger-Harris
Sanger-Harris was a regional American department store chain, best known for its presence in Texas and later integration into the Macy’s brand.
|
E1021860
|
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: Sanger-Harris | Statement: [Federated Department Stores, operated, Sanger-Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanger-Harris Context triple: [Federated Department Stores, operated, Sanger-Harris]
-
A.
Sanger
Sanger is the surname of Frederick Sanger, the pioneering British biochemist and double Nobel Prize laureate in Chemistry known for his work on protein and DNA sequencing.
-
B.
Sanger
Sanger is a small city in California’s San Joaquin Valley known for its agricultural economy and proximity to Fresno.
-
C.
Hollingworth
Hollingworth is a village in Tameside, Greater Manchester, England, situated near the Longdendale valley.
-
D.
Harcourt-Reilly
Harcourt-Reilly is the hyphenated surname of Sir Henry Harcourt-Reilly, a fictional character from T.S. Eliot’s play "The Cocktail Party."
-
E.
Sossick
Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
- 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: Sanger-Harris Triple: [Federated Department Stores, operated, Sanger-Harris]
Generated description
Sanger-Harris was a regional American department store chain, best known for its presence in Texas and later integration into the Macy’s brand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanger-Harris Target entity description: Sanger-Harris was a regional American department store chain, best known for its presence in Texas and later integration into the Macy’s brand.
-
A.
Sanger
Sanger is a small city in California’s San Joaquin Valley known for its agricultural economy and proximity to Fresno.
-
B.
Sanger
Sanger is the surname of Frederick Sanger, the pioneering British biochemist and double Nobel Prize laureate in Chemistry known for his work on protein and DNA sequencing.
-
C.
Hollingworth
Hollingworth is a village in Tameside, Greater Manchester, England, situated near the Longdendale valley.
-
D.
Harcourt-Reilly
Harcourt-Reilly is the hyphenated surname of Sir Henry Harcourt-Reilly, a fictional character from T.S. Eliot’s play "The Cocktail Party."
-
E.
Sossick
Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.