Triple
T10524608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Hamilton Holly |
E248265
|
entity |
| Predicate | marriedName |
P18
|
FINISHED |
| Object | Holly |
E209387
|
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: Holly | Statement: [Eliza Hamilton Holly, marriedName, Holly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holly Context triple: [Eliza Hamilton Holly, marriedName, Holly]
-
A.
Holly
chosen
Holly is a feminine given name of English origin, derived from the holly tree and often associated with Christmas.
-
B.
Holly
Holly is a supporting character in the British horror film "The Descent," known as one of the adventurous cavers whose expedition into an uncharted cave system turns into a terrifying fight for survival.
-
C.
Holly
Holly is a central animal protagonist, likely a beloved pet whose experiences and relationships drive the story’s emotional core.
-
D.
Holly
Holly is the circus aerialist portrayed by Betty Hutton in the 1952 film "The Greatest Show on Earth."
-
E.
Hollytrees
Hollytrees is a historic Georgian townhouse in Colchester, England, that now serves as a museum of local history and domestic life.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4020c8190b78c49da086df757 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:29 p.m.