Triple
T13832422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Flight |
E332433
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Taken |
E178794
|
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: Taken | Statement: [In Flight, hasPart, Taken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taken Context triple: [In Flight, hasPart, Taken]
-
A.
Taken
chosen
Taken is a 2008 action thriller film in which Liam Neeson plays a former CIA operative who relentlessly hunts down his daughter's kidnappers in Paris.
-
B.
Stolen
"Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
-
C.
Stolen
Stolen is a 2012 action thriller film starring Nicolas Cage as a former thief racing against time to rescue his kidnapped daughter.
-
D.
Took
Took is the hobbit family name of Peregrin “Pippin” Took, one of the central characters in J.R.R. Tolkien’s The Lord of the Rings.
-
E.
Taken In
Taken In is a documentary film directed by Vanessa Roth that explores the emotional and social impact of the U.S. foster care and adoption systems.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.