Triple
T16047802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Haskell Porcher Legge |
E389268
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Legge
Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
|
E1190847
|
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: Legge | Statement: [Dorothy Haskell Porcher Legge, familyName, Legge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legge Context triple: [Dorothy Haskell Porcher Legge, familyName, Legge]
-
A.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
B.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
C.
LEY
LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
-
D.
Lawa-an
Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
E.
The Laws
The Laws is Plato’s longest and one of his latest dialogues, presenting a detailed vision of legislation and political organization for an ideal city-state.
- 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: Legge Triple: [Dorothy Haskell Porcher Legge, familyName, Legge]
Generated description
Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legge Target entity description: Legge is a surname most notably associated with Dorothy Haskell Porcher Legge, the Charleston preservationist credited with creating the iconic Rainbow Row of pastel-colored houses.
-
A.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
B.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
C.
LEY
LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
-
D.
Lawa-an
Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
E.
The Laws
The Laws is Plato’s longest and one of his latest dialogues, presenting a detailed vision of legislation and political organization for an ideal city-state.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835eda348190aff492f0ff668cce |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbddc25481908fca660c4f14eaff |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdc915be88190a0e949fcee608242 |
completed | May 10, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd17239c8190a3c0c4d146a279f7 |
completed | May 10, 2026, 1:19 a.m. |
Created at: April 10, 2026, 4:56 a.m.