Triple
T20666759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen McLeod |
E507912
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Helen McLeod |
—
|
NE NERFINISHED |
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: Helen McLeod | Statement: [Helen McLeod, name, Helen McLeod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen McLeod Context triple: [Helen McLeod, name, Helen McLeod]
-
A.
Helen McLeod
Helen McLeod was the namesake of the New Zealand town of Helensville, likely a woman of local significance or connected to its founding family.
-
B.
Helen McLeod
Helen McLeod is the mother of Scottish actor David Tennant, known for his roles in "Doctor Who" and "Broadchurch."
-
C.
Helen Flint
Helen Flint is a television and film producer known for her work as an executive producer on high-profile drama series.
-
D.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
E.
Helen Jellicoe
Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.