Triple
T15988051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy Winthrop |
E387748
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Harmony |
E1196232
|
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: Harmony | Statement: [Ivy Winthrop, residence, Harmony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harmony Context triple: [Ivy Winthrop, residence, Harmony]
-
A.
Harmony
Harmony is a tiny, historic coastal town in San Luis Obispo County, California, known for its art studios, glassworks, and picturesque rural setting.
-
B.
Harmony
Harmony is a U.S.-built connecting node of the International Space Station that serves as a central hub linking multiple laboratory and living modules.
-
C.
Harmony
Harmony is a studio album by Canadian singer-songwriter Serena Ryder that blends pop, rock, and soul influences.
-
D.
Harmony
chosen
Harmony is the fictional town in the soap opera "Passions," serving as the primary setting for the series' dramatic and supernatural events.
-
E.
Harmony
Harmony is a small village in the town of Glocester in Providence County, Rhode Island, known for its rural character and historic New England charm.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15781d590819096f7361ca9736721 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff794c8508190a444af7ce968c5da |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:54 a.m.