Triple
T1220101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gage |
E26199
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Simon Gage
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
|
E217886
|
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: Simon Gage | Statement: [Gage, hasNotableBearer, Simon Gage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Gage Context triple: [Gage, hasNotableBearer, Simon Gage]
-
A.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
B.
David Gest
David Gest was an American television personality and music producer best known for his high-profile marriage to entertainer Liza Minnelli and his appearances on British reality TV.
-
C.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
D.
Tim Bevan
Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
-
E.
Andrew Lesnie
Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
- 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: Simon Gage Triple: [Gage, hasNotableBearer, Simon Gage]
Generated description
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon Gage Target entity description: Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
-
A.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
B.
David Gest
David Gest was an American television personality and music producer best known for his high-profile marriage to entertainer Liza Minnelli and his appearances on British reality TV.
-
C.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
D.
Tim Bevan
Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
-
E.
Andrew Lesnie
Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be1ead088190bf44dc6ab1edf18b |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb8231ec81909d539f9bc2219619 |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfbf98f508190a237a2067bf0574f |
completed | March 8, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfc523d248190a1d748c7a9579d06 |
completed | March 8, 2026, 10:46 p.m. |
Created at: March 1, 2026, 7:46 p.m.