Triple
T2919253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Royal Tenenbaums |
E78678
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dylan Tichenor |
E241094
|
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: Dylan Tichenor | Statement: [The Royal Tenenbaums, editedBy, Dylan Tichenor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan Tichenor Context triple: [The Royal Tenenbaums, editedBy, Dylan Tichenor]
-
A.
Dylan Tichenor
chosen
Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
-
B.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
-
C.
Dylan Taylor
Dylan Taylor is a Canadian actor known for his work in film and television, including roles in projects like the teen comedy-drama "Charlie Bartlett."
-
D.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
-
E.
Dylan Smith
Dylan Smith is an American entrepreneur best known as a co-founder and longtime chief financial officer of the cloud content management company Box.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a53f8c8190b188d549f1161e84 |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562fc5f081909c9130f71f379a24 |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 8, 2026, 2:54 p.m.