Triple
T10677928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb Raider (2018 film) |
E251666
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Stuart Baird |
E275759
|
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: Stuart Baird | Statement: [Tomb Raider (2018 film), editedBy, Stuart Baird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Baird Context triple: [Tomb Raider (2018 film), editedBy, Stuart Baird]
-
A.
Stuart Baird
chosen
Stuart Baird is a British film editor and director renowned for his work on major Hollywood action and blockbuster films such as the James Bond and Lethal Weapon series.
-
B.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
C.
Stuart Pritchard
Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
-
D.
Stuart Morrison
Stuart Morrison is a motorsport communications professional who serves as the head of communications for the Haas Formula 1 Team.
-
E.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9684e48190b2786823723cde6c |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de554ed3848190bba56ab52c05902c |
completed | April 14, 2026, 2:55 p.m. |
Created at: April 8, 2026, 9:10 p.m.