Triple
T1458199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Gleason |
E31446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gleason
Gleason is a surname of Irish and English origin borne by various notable individuals across fields such as engineering, entertainment, and sports.
|
E168111
|
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: Gleason | Statement: [Kate Gleason, familyName, Gleason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gleason Context triple: [Kate Gleason, familyName, Gleason]
-
A.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
B.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
C.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
- 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: Gleason Triple: [Kate Gleason, familyName, Gleason]
Generated description
Gleason is a surname of Irish and English origin borne by various notable individuals across fields such as engineering, entertainment, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gleason Target entity description: Gleason is a surname of Irish and English origin borne by various notable individuals across fields such as engineering, entertainment, and sports.
-
A.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
B.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
C.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59a462881908e84b27846a6bc04 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7643e081909a088035faf2022d |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad121fee9c81909efddee10191b791 |
completed | March 8, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad127f25548190bdbcf99132237ad4 |
completed | March 8, 2026, 6:09 a.m. |
Created at: March 1, 2026, 8 p.m.