Triple
T22913736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Hapgood |
E568671
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hapgood
Hapgood is an English-language surname borne by various notable individuals, including journalists, authors, and academics.
|
E1560944
|
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: Hapgood | Statement: [Norman Hapgood, familyName, Hapgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hapgood Context triple: [Norman Hapgood, familyName, Hapgood]
-
A.
Nightingall
Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
-
B.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
-
C.
Humphreys
Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
-
D.
Henshall
Henshall is an English-language surname borne by various notable individuals across fields such as acting, sports, and academia.
-
E.
The Whitaker
The Whitaker is a museum and art gallery in Rawtenstall, Lancashire, showcasing local history, contemporary exhibitions, and community events within a historic house and park setting.
- 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: Hapgood Triple: [Norman Hapgood, familyName, Hapgood]
Generated description
Hapgood is an English-language surname borne by various notable individuals, including journalists, authors, and academics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hapgood Target entity description: Hapgood is an English-language surname borne by various notable individuals, including journalists, authors, and academics.
-
A.
Nightingall
Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
-
B.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
-
C.
Humphreys
Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
-
D.
Henshall
Henshall is an English-language surname borne by various notable individuals across fields such as acting, sports, and academia.
-
E.
The Whitaker
The Whitaker is a museum and art gallery in Rawtenstall, Lancashire, showcasing local history, contemporary exhibitions, and community events within a historic house and park setting.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9d345e88190a04f7afa7b14ab41 |
completed | May 19, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_6a0bba89d5d88190b3268c5f16273a56 |
completed | May 19, 2026, 1:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbaefea888190bed91a067d771438 |
completed | May 19, 2026, 1:20 a.m. |
Created at: April 17, 2026, 3:42 p.m.