Triple
T1384135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Vassall Jr. |
E29805
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vassall
Vassall is an English surname historically associated with notable figures in British public life and espionage.
|
E157705
|
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: Vassall | Statement: [John Vassall Jr., familyName, Vassall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vassall Context triple: [John Vassall Jr., familyName, Vassall]
-
A.
Lascelles
Lascelles is a British aristocratic family name historically associated with the Earls of Harewood and close ties to the royal family.
-
B.
Banagher
Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Banastre
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
-
E.
Roxeth
Roxeth is a residential district in the London Borough of Harrow, northwest London, known for its suburban character and proximity to Harrow-on-the-Hill.
- 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: Vassall Triple: [John Vassall Jr., familyName, Vassall]
Generated description
Vassall is an English surname historically associated with notable figures in British public life and espionage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vassall Target entity description: Vassall is an English surname historically associated with notable figures in British public life and espionage.
-
A.
Lascelles
Lascelles is a British aristocratic family name historically associated with the Earls of Harewood and close ties to the royal family.
-
B.
Banagher
Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Banastre
Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
-
E.
Roxeth
Roxeth is a residential district in the London Borough of Harrow, northwest London, known for its suburban character and proximity to Harrow-on-the-Hill.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3377b608190b915e6871c1fe86e |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48e046c8190bc4820d6c4ce907d |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd57bf87c8190ad22de7b5636fcfc |
completed | March 8, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd5e54e98819084ba0022ca64ff43 |
completed | March 8, 2026, 1:50 a.m. |
Created at: March 1, 2026, 7:59 p.m.