Triple
T6765943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Lyman |
E154718
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lyman |
E73402
|
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: Lyman | Statement: [Josh Lyman, familyName, Lyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyman Context triple: [Josh Lyman, familyName, Lyman]
-
A.
Lyman
Lyman is a small town located in Skagit County in the state of Washington, United States.
-
B.
Lyman
chosen
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
-
C.
Hoyt
Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
-
D.
Ligonier
Ligonier is a small historic borough in Pennsylvania known for its picturesque town square, frontier-era fort, and role as a gateway to the Laurel Highlands region.
-
E.
Lawrence Brook
Lawrence Brook is a tributary of the Raritan River in central New Jersey that flows through several Middlesex County communities, including North Brunswick Township.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712be7f9c8190b2667fc4c8d5f601 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:12 p.m.