Triple
T5751514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Hipwell |
E126863
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Anna Watson |
E154686
|
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: Anna Watson | Statement: [Scott Hipwell, connectedTo, Anna Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Watson Context triple: [Scott Hipwell, connectedTo, Anna Watson]
-
A.
Anna Watson
chosen
Anna Watson is a fictional character known primarily as the rival of Rachel Watson.
-
B.
Lacey Chabert
Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
-
C.
Amber Tamblyn
Amber Tamblyn is an American actress and writer best known for her roles in the television series "Joan of Arcadia" and films such as "The Sisterhood of the Traveling Pants."
-
D.
Sienna Guillory
Sienna Guillory is an English actress best known for her roles in genre films and television, including her portrayal of Jill Valentine in the Resident Evil film series.
-
E.
Anna Paquin
Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0c0dd948190a39c714026a228b0 |
completed | March 23, 2026, 3:17 a.m. |
Created at: March 22, 2026, 3:48 p.m.