Triple
T10344956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Bilson |
E243720
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Take Two |
E823428
|
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: Take Two | Statement: [Rachel Bilson, notableWork, Take Two]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take Two Context triple: [Rachel Bilson, notableWork, Take Two]
-
A.
Take Two
chosen
"Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
-
B.
The Two of Us
The Two of Us is the debut EP by R&B duo Chloe x Halle, showcasing their soulful harmonies and genre-blending, self-produced sound.
-
C.
The Two of Us
The Two of Us is a collaborative album by American vocalists Marilyn McCoo and Billy Davis Jr. that showcases their smooth pop-soul duets and harmonies.
-
D.
The Two of Us
"The Two of Us" is a memoir by British actress Sheila Hancock reflecting on her life and marriage to fellow actor John Thaw.
-
E.
One & Two
One & Two is a 2015 American independent science fiction drama film that follows two siblings with supernatural abilities struggling against their strict, isolated upbringing.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9228cd88190bcd94b85537233c1 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7507f708c8190b8cf684704a6e47d |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:56 a.m.