Triple
T13269350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skeeter Webb |
E316013
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Skeeter
Skeeter was the nickname of Skeeter Webb, an American Major League Baseball shortstop who played primarily in the 1940s.
|
E1031530
|
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: Skeeter | Statement: [Skeeter Webb, nickname, Skeeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skeeter Context triple: [Skeeter Webb, nickname, Skeeter]
-
A.
Avispa
Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
-
B.
Muscardin
Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
-
C.
Musca
Musca is a small southern constellation representing a fly, located near the Southern Cross in the southern sky.
-
D.
Mantis
Mantis is a small but skilled and quick-witted kung fu master and member of the Furious Five in the Kung Fu Panda film series.
-
E.
Mantis
"Mantis" is a progressive rock studio album by the American jam band Umphrey's McGee, noted for its complex compositions and fan-engaging pre-release campaign.
- 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: Skeeter Triple: [Skeeter Webb, nickname, Skeeter]
Generated description
Skeeter was the nickname of Skeeter Webb, an American Major League Baseball shortstop who played primarily in the 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skeeter Target entity description: Skeeter was the nickname of Skeeter Webb, an American Major League Baseball shortstop who played primarily in the 1940s.
-
A.
Avispa
Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
-
B.
Muscardin
Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
-
C.
Musca
Musca is a small southern constellation representing a fly, located near the Southern Cross in the southern sky.
-
D.
Mantis
Mantis is a small but skilled and quick-witted kung fu master and member of the Furious Five in the Kung Fu Panda film series.
-
E.
Mantis
"Mantis" is a progressive rock studio album by the American jam band Umphrey's McGee, noted for its complex compositions and fan-engaging pre-release campaign.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901f59888190b8147836d2fcac5e |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4e98888190af5cb857b2437f09 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70aec0e4481909f6ea77136f2e970 |
completed | May 3, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70bcb8b60819087afe37a3919d26b |
completed | May 3, 2026, 8:48 a.m. |
Created at: April 9, 2026, 9:26 p.m.