Triple
T18404823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Weld |
E450096
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Weld |
—
|
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: Weld | Statement: [Thomas Weld, familyName, Weld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weld Context triple: [Thomas Weld, familyName, Weld]
-
A.
Weld
chosen
Weld is a surname of English origin borne by various notable individuals, including American abolitionist Theodore Dwight Weld.
-
B.
Weld
Weld is a live album by Neil Young and Crazy Horse, renowned for its intense, feedback-heavy performances of his rock classics.
-
C.
Weld
Weld is a farming simulation game in the Harvest Moon series that precedes the installment titled Harvest Moon.
-
D.
Weld
Weld is an American actress known for her work in film and television from the 1950s through the 1990s, including acclaimed performances in movies like "Play It As It Lays" and "Looking for Mr. Goodbar."
-
E.
Bessemer
Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51956b8c88190b863e66871825014 |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.