Triple
T20456337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore, Alabama |
E501797
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | Clements |
—
|
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: Clements | Statement: [Theodore, Alabama, previousName, Clements]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clements Context triple: [Theodore, Alabama, previousName, Clements]
-
A.
Clements
chosen
Clements is a surname most notably associated with American plant ecologist Frederic Clements, a pioneer in the study of ecological succession.
-
B.
Tibbits
Tibbits is an English-language surname borne by various notable individuals across different fields.
-
C.
Clem
Clem is a short, informal given name typically used as a diminutive of Clement.
-
D.
Hichens
Hichens is an English surname most notably associated with figures such as novelist Robert Hichens.
-
E.
Clemont
Clemont is an intelligent and inventive Lumiose City Gym Leader in the Pokémon series, known for his gadgets and close companionship with Ash Ketchum during their Kalos journey.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.