Triple
T21965683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Chapman |
E542449
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Sarah Junner |
—
|
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: Sarah Junner | Statement: [Thomas Chapman, partner, Sarah Junner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Junner Context triple: [Thomas Chapman, partner, Sarah Junner]
-
A.
Sarah Junner
chosen
Sarah Junner was the mother of British archaeologist, soldier, and writer T. E. Lawrence, better known as "Lawrence of Arabia."
-
B.
Sarah Ulmer
Sarah Ulmer is a New Zealand former track cyclist and Olympic gold medallist renowned for breaking the individual pursuit world record.
-
C.
Sarah Elbert
Sarah Elbert is a film producer best known for her work on the horror movie "Hatchet."
-
D.
Emily Saliers
Emily Saliers is an American singer-songwriter and guitarist best known as one half of the Grammy-winning folk-rock duo Indigo Girls.
-
E.
Sarah Roemer
Sarah Roemer is an American actress and former model best known for her role in the thriller film "Disturbia" and appearances in various television series and movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.