Triple
T18866516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehaven High School |
E461451
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Ed "Too Tall" Jones |
—
|
NE NERFINISHED |
How this triple was built (2 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: Ed "Too Tall" Jones | Statement: [Whitehaven High School, hasNotableAlumni, Ed "Too Tall" Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed "Too Tall" Jones Context triple: [Whitehaven High School, hasNotableAlumni, Ed "Too Tall" Jones]
-
A.
Ed "Too Tall" Jones
chosen
Ed "Too Tall" Jones is a former Dallas Cowboys defensive end and three-time Pro Bowler known for his towering height and dominant play in the NFL during the 1970s and 1980s.
-
B.
Larry Jones
Larry Jones is a former professional basketball player best known for his high-scoring guard play in the ABA during the late 1960s and early 1970s.
-
C.
Richard Bellis
Richard Bellis is an American composer best known for his Emmy-winning score for the television adaptation of Stephen King’s "It" and his extensive work in film and television music.
-
D.
Donnie Jackson
Donnie Jackson is one of the children of American actress and singer Shar Jackson.
-
E.
Donnie Jackson
Donnie Jackson is a fictional character from the British radio and television comedy series "Beulah."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a617548190be6044bf2c3de6d0 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.