Triple
T16790670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Baker |
E408099
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Liza Goddard |
E1240733
|
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: Liza Goddard | Statement: [Colin Baker, spouse, Liza Goddard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liza Goddard Context triple: [Colin Baker, spouse, Liza Goddard]
-
A.
Liza Goddard
chosen
Liza Goddard is a British actress best known for her extensive work in television drama and comedy from the 1960s onward.
-
B.
Liza Elliott
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
-
C.
Liza Owen
Liza Owen is a British-Cambodian singer-songwriter known for her pop and R&B-influenced writing and collaborations with major contemporary artists.
-
D.
Liza Moffat
Liza Moffat is known primarily as the daughter of British-American screenwriter and socialite Ivan Moffat.
-
E.
Liza Marshall
Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a5d10c8190a581de79e4f7ccfa |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf92b148190825778809bc4aac2 |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:22 a.m.