Triple
T1514583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grady Little |
E32090
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Little
Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
|
E172706
|
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: Little | Statement: [Grady Little, familyName, Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Context triple: [Grady Little, familyName, Little]
-
A.
Small
Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
-
B.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
-
C.
Small Fry
Small Fry is a memoir by Lisa Brennan-Jobs recounting her childhood and complicated relationship with her father, Apple co-founder Steve Jobs.
-
D.
Baby
"Baby" is a 1994 R&B song by American singer Brandy, released as a single from her self-titled debut album and known for its smooth groove and chart success.
-
E.
Mini
Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
- 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: Little Triple: [Grady Little, familyName, Little]
Generated description
Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Target entity description: Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
-
A.
Small
Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
-
B.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
-
C.
Small Fry
Small Fry is a memoir by Lisa Brennan-Jobs recounting her childhood and complicated relationship with her father, Apple co-founder Steve Jobs.
-
D.
Baby
"Baby" is a 1994 R&B song by American singer Brandy, released as a single from her self-titled debut album and known for its smooth groove and chart success.
-
E.
Mini
Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907da75388190bfbdbedbd46adbdc |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad23429f1c81909f435030de687675 |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad24acd82481908b052cecb555b213 |
completed | March 8, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad254d930c81908932aa76640121ba |
completed | March 8, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:26 p.m.