Triple
T15166396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dope Body |
E362352
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Andrew Laumann |
E362352
|
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: Andrew Laumann | Statement: [Dope Body, hasMember, Andrew Laumann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Laumann Context triple: [Dope Body, hasMember, Andrew Laumann]
-
A.
Andrew Laumann
chosen
Andrew Laumann is a musician best known as a member of the Baltimore noise-rock band Dope Body.
-
B.
Neil J. Smelser
Neil J. Smelser was an influential American sociologist known for his work on social theory, economic sociology, and collective behavior.
-
C.
Oliver Laumann
Oliver Laumann is a software developer best known for creating the terminal multiplexer GNU Screen.
-
D.
Norman H. Nie
Norman H. Nie was an American political scientist and social researcher best known as a co-creator of the SPSS statistical software and for his influential work on political participation and survey research.
-
E.
Erich Goode
Erich Goode is an American sociologist and author best known for his influential work on deviance, social problems, and the sociology of drugs.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec887fbf08190b42dd25a99b7770d |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.