Triple
T16457402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Interview |
E399717
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Timothy Simons |
E257167
|
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: Timothy Simons | Statement: [The Interview, castMember, Timothy Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Simons Context triple: [The Interview, castMember, Timothy Simons]
-
A.
Timothy Simons
chosen
Timothy Simons is an American actor and comedian best known for his Emmy-nominated role as Jonah Ryan on the HBO political satire series "Veep."
-
B.
Ed Sims
Ed Sims is a business executive best known for serving as the president and CEO of WestJet Airlines.
-
C.
Michael Shrieve
Michael Shrieve is an American drummer and percussionist best known for his work with Santana, including his iconic performance at Woodstock and contributions to their classic early albums.
-
D.
Craig Thomas
Craig Thomas is an American television writer and producer best known for co-creating the hit sitcom "How I Met Your Mother."
-
E.
Craig Thomas
Craig Thomas was a Welsh author best known for his techno-thriller novels, particularly the Cold War espionage book "Firefox," which was adapted into a major film.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7dfd188190b03e9b4151a4d3d8 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.