Triple
T4861299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offred |
E108664
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Moira |
E327879
|
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: Moira | Statement: [Offred, associatedWith, Moira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moira Context triple: [Offred, associatedWith, Moira]
-
A.
Moira
Moira is a feminine given name of Greek origin, often considered a variant of Mary and associated with meanings like "fate" or "destiny."
-
B.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
C.
Deidre
Deidre is a public figure best known as the wife of former Major League Baseball star Albert Pujols and for her involvement in charitable and community work.
-
D.
Moira O’Hara
chosen
Moira O’Hara is a central ghostly housemaid character in the horror anthology series American Horror Story, known for appearing differently to men and women and embodying themes of desire, guilt, and tragedy.
-
E.
Moira Ross
Moira Ross is a British television producer best known for her senior production role on the popular dance competition show Strictly Come Dancing.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5f62b48190b367ed1b850cfbcb |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cf921cc8190a092bb69c1981890 |
completed | March 21, 2026, 8:55 a.m. |
Created at: March 20, 2026, 1:26 p.m.