Triple
T2808568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tillotson |
E54111
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tillotson
Tillotson is an English surname most notably associated with John Tillotson, a 17th-century Archbishop of Canterbury.
|
E299048
|
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: Tillotson | Statement: [John Tillotson, familyName, Tillotson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tillotson Context triple: [John Tillotson, familyName, Tillotson]
-
A.
Holley
Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
-
B.
Surtees
Surtees is an English surname historically associated with notable figures in British literature, motorsport, and regional history.
-
C.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
-
D.
Roush-Yates Engines
Roush-Yates Engines is a high-performance racing engine manufacturer and builder known for supplying competitive powerplants to top-level NASCAR and other motorsports teams.
-
E.
GKN Sankey
GKN Sankey was a British engineering and manufacturing company best known for producing military vehicles and automotive components.
- 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: Tillotson Triple: [John Tillotson, familyName, Tillotson]
Generated description
Tillotson is an English surname most notably associated with John Tillotson, a 17th-century Archbishop of Canterbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tillotson Target entity description: Tillotson is an English surname most notably associated with John Tillotson, a 17th-century Archbishop of Canterbury.
-
A.
Holley
Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
-
B.
Surtees
Surtees is an English surname historically associated with notable figures in British literature, motorsport, and regional history.
-
C.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
-
D.
Roush-Yates Engines
Roush-Yates Engines is a high-performance racing engine manufacturer and builder known for supplying competitive powerplants to top-level NASCAR and other motorsports teams.
-
E.
GKN Sankey
GKN Sankey was a British engineering and manufacturing company best known for producing military vehicles and automotive components.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde2fdcf88190a52e515c166ea8f7 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc678d6488190be73244b7e78f30c |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc79deb2081908b0bfa5f14395503 |
completed | March 10, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc82ac1148190a254415e336ba1e3 |
completed | March 10, 2026, 7:28 a.m. |
Created at: March 6, 2026, 9:59 p.m.