Triple
T10121351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Higgins Clark |
E223296
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Popped
"Popped" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly as she investigates a case set against the backdrop of a Hollywood film production.
|
E842544
|
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: Popped | Statement: [Carol Higgins Clark, notableWork, Popped]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Popped Context triple: [Carol Higgins Clark, notableWork, Popped]
-
A.
PoP!
PoP! is the fictional 1980s pop duo fronted by Hugh Grant’s character in the romantic comedy film "Music and Lyrics."
-
B.
P-Poppin'
P-Poppin' is a track by rapper Ludacris featured on his 2003 studio album "Chicken-n-Beer."
-
C.
Pop Pop
Pop Pop is one of the unsettling elderly grandparents in M. Night Shyamalan’s horror film "The Visit," central to the movie’s tension and mystery.
-
D.
Pop Pop
"Pop Pop" is a musical track by the artist BODR, likely within the hip-hop or rap genre.
-
E.
Bounce
"Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
- 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: Popped Triple: [Carol Higgins Clark, notableWork, Popped]
Generated description
"Popped" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly as she investigates a case set against the backdrop of a Hollywood film production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Popped Target entity description: "Popped" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly as she investigates a case set against the backdrop of a Hollywood film production.
-
A.
PoP!
PoP! is the fictional 1980s pop duo fronted by Hugh Grant’s character in the romantic comedy film "Music and Lyrics."
-
B.
P-Poppin'
P-Poppin' is a track by rapper Ludacris featured on his 2003 studio album "Chicken-n-Beer."
-
C.
Pop Pop
Pop Pop is one of the unsettling elderly grandparents in M. Night Shyamalan’s horror film "The Visit," central to the movie’s tension and mystery.
-
D.
Pop Pop
"Pop Pop" is a musical track by the artist BODR, likely within the hip-hop or rap genre.
-
E.
Bounce
"Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd266b18c8190b35fe637c912e756 |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc493db88190b3b09a77b82b3cc9 |
completed | April 5, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69d2cd901c148190afb27759cc176f89 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce6da82081908ca6b3621971ca9a |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:04 p.m.