Triple
T14622513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapped |
E343258
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lisa Towers
Lisa Towers is a television producer known for her work on the series "Zapped."
|
E1110365
|
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: Lisa Towers | Statement: [Zapped, producer, Lisa Towers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Towers Context triple: [Zapped, producer, Lisa Towers]
-
A.
Jessica Tuchinsky
Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
-
B.
Lisa Fischer
Lisa Fischer is an American vocalist renowned for her powerful backing and solo performances, particularly her work with the Rolling Stones and her Grammy-winning solo career.
-
C.
Emily Dreyfuss
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
-
D.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
E.
Caitlin Moltisanti
Caitlin Moltisanti is the infant daughter of Christopher Moltisanti in the television series "The Sopranos."
- 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: Lisa Towers Triple: [Zapped, producer, Lisa Towers]
Generated description
Lisa Towers is a television producer known for her work on the series "Zapped."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Towers Target entity description: Lisa Towers is a television producer known for her work on the series "Zapped."
-
A.
Jessica Tuchinsky
Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
-
B.
Lisa Fischer
Lisa Fischer is an American vocalist renowned for her powerful backing and solo performances, particularly her work with the Rolling Stones and her Grammy-winning solo career.
-
C.
Emily Dreyfuss
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
-
D.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
E.
Caitlin Moltisanti
Caitlin Moltisanti is the infant daughter of Christopher Moltisanti in the television series "The Sopranos."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:25 a.m.