Triple
T21502184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gottfried Schatz |
E530502
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schatz |
—
|
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: Schatz | Statement: [Gottfried Schatz, familyName, Schatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schatz Context triple: [Gottfried Schatz, familyName, Schatz]
-
A.
Schatz
chosen
Schatz is a German-language surname borne by various individuals of German and Jewish heritage.
-
B.
Treasure
"Treasure" is a 2013 funk- and disco-influenced pop song by Bruno Mars, known for its retro sound and upbeat, danceable vibe.
-
C.
Treasure
Treasure is a Japanese video game developer renowned for its innovative, fast-paced action titles and cult-classic shooters.
-
D.
Bottino
Bottino is a surname associated with the architectural firm Holzman Moss Bottino Architecture.
-
E.
Lingotto
Lingotto is a district in Turin, Italy, best known for its former Fiat automobile factory complex, now a major multi-purpose center with shopping, conference, and cultural facilities.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5d209881908754eb07a47e478a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.