Triple
T1676625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Garner |
E36244
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Peppermint
Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
|
E189820
|
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: Peppermint | Statement: [Jennifer Garner, notableWork, Peppermint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peppermint Context triple: [Jennifer Garner, notableWork, Peppermint]
-
A.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
-
B.
Juicy Fruit
Juicy Fruit is a long-running fruit-flavored chewing gum brand produced by Wrigley, known for its distinctive sweet taste and bright yellow packaging.
-
C.
Wrigley’s Spearmint
Wrigley’s Spearmint is a classic spearmint-flavored chewing gum brand known for its long-lasting flavor and iconic green packaging.
-
D.
Malvids
Malvids are a major clade of flowering plants within the rosids that includes economically important families such as Brassicaceae (mustards) and Malvaceae (mallows).
-
E.
Nutmegger
Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
- 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: Peppermint Triple: [Jennifer Garner, notableWork, Peppermint]
Generated description
Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peppermint Target entity description: Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
-
A.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
-
B.
Juicy Fruit
Juicy Fruit is a long-running fruit-flavored chewing gum brand produced by Wrigley, known for its distinctive sweet taste and bright yellow packaging.
-
C.
Wrigley’s Spearmint
Wrigley’s Spearmint is a classic spearmint-flavored chewing gum brand known for its long-lasting flavor and iconic green packaging.
-
D.
Malvids
Malvids are a major clade of flowering plants within the rosids that includes economically important families such as Brassicaceae (mustards) and Malvaceae (mallows).
-
E.
Nutmegger
Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625cb1a08190bf7b138c5bfb90b2 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b7c2608190bce1dc7469da4c45 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad72deafcc8190a2aef87277c5d731 |
completed | March 8, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad734440ac81909cbcf1c02fd4bc66 |
completed | March 8, 2026, 1:01 p.m. |
Created at: March 4, 2026, 7:29 p.m.