Triple
T21898327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stake Land |
E540741
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Brenda Goodman
Brenda Goodman is a film producer known for her work on the post-apocalyptic horror film "Stake Land."
|
E1511986
|
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: Brenda Goodman | Statement: [Stake Land, producer, Brenda Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenda Goodman Context triple: [Stake Land, producer, Brenda Goodman]
-
A.
Brenda Denaut
Brenda Denaut was an American actress and the mother of the late actor and transgender activist Alexis Arquette.
-
B.
Brenda Hosbrook
Brenda Hosbrook was the longtime wife of comedian George Carlin, known for her behind-the-scenes support throughout his early career and rise to fame.
-
C.
Brenda Hosbrook
Brenda Hosbrook is an individual whose specific public background or notable achievements are not widely documented.
-
D.
Brenda Bates
Brenda Bates is the central protagonist of the 1998 slasher film "Urban Legend," known for being stalked by a killer who reenacts famous urban myths.
-
E.
Linda Good
Linda Good is a musician and songwriter best known as a member of the alternative rock band The Twigs and for her work as a touring keyboardist with artists such as Jane's Addiction and the Psychedelic Furs.
- 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: Brenda Goodman Triple: [Stake Land, producer, Brenda Goodman]
Generated description
Brenda Goodman is a film producer known for her work on the post-apocalyptic horror film "Stake Land."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brenda Goodman Target entity description: Brenda Goodman is a film producer known for her work on the post-apocalyptic horror film "Stake Land."
-
A.
Brenda Denaut
Brenda Denaut was an American actress and the mother of the late actor and transgender activist Alexis Arquette.
-
B.
Brenda Hosbrook
Brenda Hosbrook was the longtime wife of comedian George Carlin, known for her behind-the-scenes support throughout his early career and rise to fame.
-
C.
Brenda Hosbrook
Brenda Hosbrook is an individual whose specific public background or notable achievements are not widely documented.
-
D.
Brenda Bates
Brenda Bates is the central protagonist of the 1998 slasher film "Urban Legend," known for being stalked by a killer who reenacts famous urban myths.
-
E.
Linda Good
Linda Good is a musician and songwriter best known as a member of the alternative rock band The Twigs and for her work as a touring keyboardist with artists such as Jane's Addiction and the Psychedelic Furs.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d676e7c8190a6ee299393a147cc |
completed | May 18, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee56684819082d2001b2e817ed8 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 7:07 p.m.