Triple
T13162791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn Reeser |
E312767
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
So Undercover
So Undercover is a 2012 action-comedy film starring Miley Cyrus as a private investigator who goes undercover in a college sorority.
|
E1024105
|
NE FINISHED |
How this triple was built (4 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: So Undercover | Statement: [Autumn Reeser, notableWork, So Undercover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Undercover Context triple: [Autumn Reeser, notableWork, So Undercover]
-
A.
Undercover
Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
-
B.
Undercover
Undercover is a 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
-
C.
Undercover
Undercover is a book by former CIA officer and Watergate conspirator E. Howard Hunt, detailing his experiences in espionage and covert operations.
-
D.
Undercovers
Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
-
E.
Keep Under Cover
"Keep Under Cover" is a song by Paul McCartney from his 1983 album "Pipes of Peace," noted for its polished pop production and melodic hooks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: So Undercover Triple: [Autumn Reeser, notableWork, So Undercover]
Generated description
So Undercover is a 2012 action-comedy film starring Miley Cyrus as a private investigator who goes undercover in a college sorority.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Undercover Target entity description: So Undercover is a 2012 action-comedy film starring Miley Cyrus as a private investigator who goes undercover in a college sorority.
-
A.
Undercover
Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
-
B.
Undercover
Undercover is a 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
-
C.
Undercover
Undercover is a book by former CIA officer and Watergate conspirator E. Howard Hunt, detailing his experiences in espionage and covert operations.
-
D.
Undercovers
Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
-
E.
Keep Under Cover
"Keep Under Cover" is a song by Paul McCartney from his 1983 album "Pipes of Peace," noted for its polished pop production and melodic hooks.
- F. None of above. chosen
Provenance (5 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf4cd788190b74cca51b5219bfb |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6eeefa9a08190b042212f24735ca7 |
completed | May 3, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef933f888190880e680f7f4c1c29 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:12 p.m.