Triple
T10907431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Harmon |
E257607
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harmon |
E449258
|
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: Harmon | Statement: [Dan Harmon, familyName, Harmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harmon Context triple: [Dan Harmon, familyName, Harmon]
-
A.
Harmon
Harmon was the original name of the railway station now known as Croton–Harmon, a major commuter and intercity rail hub in New York's Hudson Valley.
-
B.
Harmon
chosen
Harmon is the maiden surname of Ellen G. White, a co-founder and prophetic figure of the Seventh-day Adventist Church.
-
C.
Haro
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
-
D.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
E.
Haroldson
Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706756d081908ed29c68d81df688 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155454890819087028a72ac2be8de |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.