Triple
T12497178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Littlefield Greene |
E298721
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Littlefield
Littlefield is a surname of English origin borne by various notable individuals across American history and culture.
|
E987186
|
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: Littlefield | Statement: [Catherine Littlefield Greene, familyName, Littlefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Littlefield Context triple: [Catherine Littlefield Greene, familyName, Littlefield]
-
A.
Littlefield
Littlefield is a residential area that forms one of the neighbourhoods within the town of Grimsby in North East Lincolnshire, England.
-
B.
Littleville
Littleville is a small town located in Colbert County in the northwestern part of Alabama, United States.
-
C.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
-
D.
Little Town
Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
-
E.
Little Haven
Little Haven is a small coastal village in Pembrokeshire, Wales, known for its picturesque beach, sheltered bay, and popularity with holidaymakers and water sports enthusiasts.
- 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: Littlefield Triple: [Catherine Littlefield Greene, familyName, Littlefield]
Generated description
Littlefield is a surname of English origin borne by various notable individuals across American history and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Littlefield Target entity description: Littlefield is a surname of English origin borne by various notable individuals across American history and culture.
-
A.
Littlefield
Littlefield is a residential area that forms one of the neighbourhoods within the town of Grimsby in North East Lincolnshire, England.
-
B.
Littleville
Littleville is a small town located in Colbert County in the northwestern part of Alabama, United States.
-
C.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
-
D.
Little Town
Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
-
E.
Little Haven
Little Haven is a small coastal village in Pembrokeshire, Wales, known for its picturesque beach, sheltered bay, and popularity with holidaymakers and water sports enthusiasts.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64baf73188190af29b57f8ae9253f |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce0ca288190bbbcb5459f914c19 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64df6488481909dea8387e7000d15 |
completed | May 2, 2026, 7:18 p.m. |
Created at: April 8, 2026, 9:57 p.m.