Triple
T15026399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lethal Weapon 3 |
E378226
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Battle Davis |
E778980
|
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: Battle Davis | Statement: [Lethal Weapon 3, editedBy, Battle Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Battle Davis Context triple: [Lethal Weapon 3, editedBy, Battle Davis]
-
A.
Battle Davis
chosen
Battle Davis is a film editor known for his work on the movie "Awakenings."
-
B.
Zangief
Zangief is a towering, muscular Russian professional wrestler and iconic playable fighter from Capcom’s Street Fighter video game series, known for his powerful grappling moves and spinning piledriver.
-
C.
David Battle
David Battle is a screenwriter best known for co-writing the war drama film "5 Days of War."
-
D.
T-Roy
T-Roy is the costumed Trojan warrior mascot who represents Troy University at athletic events and campus activities.
-
E.
Davey Lee
Davey Lee was a child actor of the late 1920s best known for appearing alongside Al Jolson in early sound films.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd746008190a7347368ee6d20cf |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.