Triple
T13099502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Huntress Lamont |
E310679
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ann Huntress Lamont |
E310679
|
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: Ann Huntress Lamont | Statement: [Ann Huntress Lamont, name, Ann Huntress Lamont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Huntress Lamont Context triple: [Ann Huntress Lamont, name, Ann Huntress Lamont]
-
A.
Ann Huntress Lamont
chosen
Ann Huntress Lamont is an American venture capitalist and philanthropist, known as a founding partner of Oak HC/FT and the wife of Connecticut Governor Ned Lamont.
-
B.
Ruth Cameron
Ruth Cameron is an American jazz singer and producer known for her work with and marriage to renowned bassist Charlie Haden.
-
C.
Elizabeth Campbell
Elizabeth Campbell was the wife of renowned American photographer, filmmaker, and writer Gordon Parks.
-
D.
Sarah MacKenzie
Sarah MacKenzie is a tough, principled Marine Corps lawyer and one of the central protagonists in the military legal drama series JAG.
-
E.
Anna Hill Johnstone
Anna Hill Johnstone was an American costume designer renowned for her work on influential mid-20th-century films, including collaborations with major directors and contributions to gritty, realistic cinema.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61bcfe88190866b4330d1669602 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:04 p.m.