Triple
T5885667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Platt |
E130854
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Platt |
E165255
|
NE FINISHED |
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: Platt | Statement: [Marc Platt, familyName, Platt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platt Context triple: [Marc Platt, familyName, Platt]
-
A.
Platt
chosen
Platt is a minor character in the play "Inherit the Wind," which dramatizes the famous Scopes "Monkey" Trial and explores the conflict between religious fundamentalism and the teaching of evolution.
-
B.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
C.
Puttnam
Puttnam is a surname most notably associated with British film producer and politician David Puttnam.
-
D.
Evarts
Evarts is a surname most notably associated with William M. Evarts, a prominent 19th-century American lawyer, statesman, and U.S. Secretary of State.
-
E.
Parlick
Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03678dd2c819095926f80f25696b0 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13ce8788190b07771180f0fa376 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.