Triple
T17891528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiseldon |
E447327
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hodson
Hodson is a small hamlet in Wiltshire, England, situated near the village of Chiseldon and the town of Swindon.
|
E1294009
|
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: Hodson | Statement: [Chiseldon, contains, Hodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodson Context triple: [Chiseldon, contains, Hodson]
-
A.
Morshead
Morshead is an English surname most notably associated with Australian military commander Sir Leslie Morshead, who served with distinction in both World Wars.
-
B.
Truscott
Truscott is an English-language surname borne by various notable individuals in fields such as politics, the military, and the arts.
-
C.
Allenby
Allenby is a surname most notably associated with Edmund Allenby, a British field marshal renowned for his leadership in the Middle Eastern theatre during World War I.
-
D.
Chetwode
Chetwode is an English surname historically associated with the British aristocracy and military leadership.
-
E.
Outram
Outram is a central district in Singapore known for its major medical facilities, heritage architecture, and proximity to the downtown core.
- 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: Hodson Triple: [Chiseldon, contains, Hodson]
Generated description
Hodson is a small hamlet in Wiltshire, England, situated near the village of Chiseldon and the town of Swindon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hodson Target entity description: Hodson is a small hamlet in Wiltshire, England, situated near the village of Chiseldon and the town of Swindon.
-
A.
Morshead
Morshead is an English surname most notably associated with Australian military commander Sir Leslie Morshead, who served with distinction in both World Wars.
-
B.
Truscott
Truscott is an English-language surname borne by various notable individuals in fields such as politics, the military, and the arts.
-
C.
Allenby
Allenby is a surname most notably associated with Edmund Allenby, a British field marshal renowned for his leadership in the Middle Eastern theatre during World War I.
-
D.
Chetwode
Chetwode is an English surname historically associated with the British aristocracy and military leadership.
-
E.
Outram
Outram is a central district in Singapore known for its major medical facilities, heritage architecture, and proximity to the downtown core.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313e10c40819089cb912a020b32de |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031528abac8190b5257eff1647b6b3 |
completed | May 12, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03164881ec8190a783b095f3cf47b3 |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:19 a.m.