Triple
T11992739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Crewe |
E285448
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Captain Crewe |
E285448
|
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: Captain Crewe | Statement: [Captain Crewe, name, Captain Crewe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Captain Crewe Context triple: [Captain Crewe, name, Captain Crewe]
-
A.
Captain Crewe
chosen
Captain Crewe is the loving and wealthy father of Sara Crewe whose presumed death and financial ruin trigger her hardships in the 1995 film "A Little Princess."
-
B.
Captain Brice
Captain Brice is a minor character in Tom Stoppard’s play "Arcadia," serving as a military officer connected to the aristocratic household around which the drama’s events unfold.
-
C.
Captain Riga
Captain Riga is a fictional sea captain who appears as a character in Herman Melville’s novel "Redburn: His First Voyage."
-
D.
Captain Nelson
Captain Nelson is the fictional U.S. Army paratroop officer who serves as the central protagonist in the World War II film "Objective, Burma!".
-
E.
Captain Farver
Captain Farver is the airline pilot protagonist in the Twilight Zone episode "The Odyssey of Flight 33," who struggles to lead his crew and passengers after their jet mysteriously slips through time.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.