Triple
T5692975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forgetting Sarah Marshall |
E125469
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | William Kerr |
E184685
|
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: William Kerr | Statement: [Forgetting Sarah Marshall, editedBy, William Kerr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Kerr Context triple: [Forgetting Sarah Marshall, editedBy, William Kerr]
-
A.
William Kerr
chosen
William Kerr is a film editor known for his work on major Hollywood comedies, including "The Five-Year Engagement."
-
B.
William Kerr
William Kerr was a Scottish gardener and plant collector for the Royal Botanic Gardens, Kew, known for introducing numerous Asian plant species to Europe.
-
C.
Thomas Urquhart
Thomas Urquhart was a 17th-century Scottish writer, translator, and eccentric known for his elaborate prose and early English translation of Rabelais.
-
D.
Charles Kerr
Charles Kerr is an athlete best known for lighting the Olympic cauldron at the 1980 Winter Olympics in Lake Placid.
-
E.
William Kirkpatrick
William Kirkpatrick is a relatively obscure individual whose name is shared with multiple historical and contemporary figures across politics, military service, and public life.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e678c48190824d35d276985311 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dd76f008190970c3b17ec8cbfd8 |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:44 p.m.