Triple
T15578611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan (2015 film) |
E374433
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mr. Smee |
E339882
|
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: Mr. Smee | Statement: [Pan (2015 film), character, Mr. Smee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Smee Context triple: [Pan (2015 film), character, Mr. Smee]
-
A.
Mr. Smee
chosen
Mr. Smee is the bumbling yet kind-hearted boatswain and loyal sidekick to Captain Hook in J.M. Barrie’s Peter Pan stories.
-
B.
Captain Nice
Captain Nice is a 1960s American superhero comedy television series that parodies traditional crime-fighting heroes through the misadventures of a mild-mannered police chemist turned reluctant costumed crusader.
-
C.
Captain Hook
Captain Hook is the villainous, hook-handed pirate captain and archenemy of Peter Pan in J. M. Barrie’s Neverland stories.
-
D.
Captain Hook
"Captain Hook" is a 2020 hip-hop single by Megan Thee Stallion, known for its confident lyrics, catchy beat, and popularity on social media and streaming platforms.
-
E.
Trader Horn
Trader Horn is a 1931 adventure film set in Africa, notable as one of the earliest major studio sound films shot largely on location.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4b3a8881909d41204a0b243461 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.