Triple
T19036596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan |
E465887
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | John Clayton |
—
|
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: John Clayton | Statement: [Tarzan, birthName, John Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Clayton Context triple: [Tarzan, birthName, John Clayton]
-
A.
John Clayton
John Clayton was an 18th-century English-born botanist and plant collector in colonial Virginia whose work significantly contributed to early North American botany.
-
B.
John Clayton
John Clayton is an acclaimed American jazz bassist, composer, arranger, and bandleader known for his work with the Clayton-Hamilton Jazz Orchestra and collaborations with numerous jazz greats.
-
C.
John Clayton
John Clayton was a prominent American sports journalist and NFL insider best known for his long tenure covering professional football for ESPN.
-
D.
John Clayton
chosen
John Clayton is the aristocratic Englishman better known as Tarzan, the iconic jungle hero created by Edgar Rice Burroughs.
-
E.
Christopher Clayton
Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d744b39881909334a80a4c15000b |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.