Triple
T12927488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Gediman |
E309280
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Dr. Wren |
E309279
|
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: Dr. Wren | Statement: [Dr. Gediman, associatedWithCharacter, Dr. Wren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Wren Context triple: [Dr. Gediman, associatedWithCharacter, Dr. Wren]
-
A.
Dr. Wren
chosen
Dr. Wren is a duplicitous scientist and secondary antagonist in the science fiction horror film "Alien: Resurrection," involved in the unethical experiments that bring the xenomorphs back.
-
B.
Dr. Harper
Dr. Harper is a character in the horror film "The Boogeyman," serving as a key figure in the story’s unfolding supernatural terror.
-
C.
Dr. Marsh
Dr. Marsh is a fictional staff member of Disney's Dino Institute, appearing in the DINOSAUR attraction at Disney's Animal Kingdom.
-
D.
Dr. Nichols
Dr. Nichols is the mother of Nicky Nichols, a character in the television series "Orange Is the New Black."
-
E.
Dr. Mumford
Dr. Mumford is the fictional psychologist protagonist of the 1999 comedy-drama film "Mumford," known for his unconventional therapeutic methods in a small town.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6655e88190ac33567870a947bb |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:42 p.m.