Triple
T12669192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Muldaur |
E302631
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Other |
E938214
|
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: The Other | Statement: [Diana Muldaur, appearedIn, The Other]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Other Context triple: [Diana Muldaur, appearedIn, The Other]
-
A.
The Other
chosen
The Other is a 1972 psychological horror film, based on Thomas Tryon’s novel, that explores the eerie bond between twin brothers in a rural 1930s setting.
-
B.
The Other
The Other is a poem that explores themes of duality, identity, and the unsettling presence of an alternate self.
-
C.
the Other
The Other is a mysterious, near-mythical figure in Doctor Who lore, often portrayed as one of the founding Time Lords whose essence is linked to the Doctor’s own origins.
-
D.
L’Autre
L’Autre is a French drama film featuring Dominique Blanc in a critically acclaimed leading role.
-
E.
Otra
Otra is a major river in southern Norway that flows through the Agder region to the city of Kristiansand before emptying into the Skagerrak.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688e101481909bc3b9e13ed84632 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.