Triple
T16647151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warpaint |
E404495
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Emily Kokal
Emily Kokal is an American musician best known as a vocalist and guitarist for the indie rock band Warpaint.
|
E1265838
|
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: Emily Kokal | Statement: [Warpaint, member, Emily Kokal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Kokal Context triple: [Warpaint, member, Emily Kokal]
-
A.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
-
B.
Rebecca Wisocky
Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
-
C.
Sarah Podemski
Sarah Podemski is a Canadian actress and producer known for her work in film and television, particularly in projects highlighting Indigenous stories and characters.
-
D.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
-
E.
Michelle Krusiec
Michelle Krusiec is a Taiwanese-American actress and writer best known for her lead role in the romantic comedy-drama film "Saving Face."
- 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: Emily Kokal Triple: [Warpaint, member, Emily Kokal]
Generated description
Emily Kokal is an American musician best known as a vocalist and guitarist for the indie rock band Warpaint.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Kokal Target entity description: Emily Kokal is an American musician best known as a vocalist and guitarist for the indie rock band Warpaint.
-
A.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
-
B.
Rebecca Wisocky
Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
-
C.
Sarah Podemski
Sarah Podemski is a Canadian actress and producer known for her work in film and television, particularly in projects highlighting Indigenous stories and characters.
-
D.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
-
E.
Michelle Krusiec
Michelle Krusiec is a Taiwanese-American actress and writer best known for her lead role in the romantic comedy-drama film "Saving Face."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad66fe88190be582b81719f2ac1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fd7d0648190800540883449cb8e |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a0ea3d3c8190b6c14eea5de3ba5b |
completed | May 11, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a17c0acc8190a556b68fbcefaa76 |
completed | May 11, 2026, 9:29 a.m. |
Created at: April 10, 2026, 5:18 a.m.