Triple
T5401185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Through the Narrow Gate |
E120780
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Karen Armstrong |
E40241
|
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: Karen Armstrong | Statement: [Through the Narrow Gate, mainCharacter, Karen Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Armstrong Context triple: [Through the Narrow Gate, mainCharacter, Karen Armstrong]
-
A.
Karen Armstrong
Karen Armstrong is a British author and former nun renowned for her influential books on comparative religion and the history of faith.
-
B.
Karen Armstrong
chosen
Karen Armstrong is the daughter of American astronaut Neil Armstrong, the first person to walk on the Moon.
-
C.
Antonia Fraser
Antonia Fraser is a British historian and biographer renowned for her popular works on European royalty and major figures of British history.
-
D.
Eve Peabody
Eve Peabody is the charming, quick-witted American showgirl at the center of the 1939 romantic comedy film "Midnight," whose misadventures in Paris drive the film’s plot.
-
E.
Claire Tomalin
Claire Tomalin is a British literary journalist and acclaimed biographer known for her works on figures such as Charles Dickens, Samuel Pepys, and Jane Austen.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8771b25c819080da247bc3164cd9 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411d608c8190a672e336e6f3954d |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:04 p.m.