Triple
T19092387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Brooks |
E467318
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michelle Kholos Brooks
Michelle Kholos Brooks is an American playwright and writer known for her stage works and for being married to author Max Brooks.
|
E1390770
|
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: Michelle Kholos Brooks | Statement: [Max Brooks, spouse, Michelle Kholos Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Kholos Brooks Context triple: [Max Brooks, spouse, Michelle Kholos Brooks]
-
A.
Kimberly Brooks
Kimberly Brooks is an American voice actress known for her work in animation and video games, including prominent roles in series like Steven Universe and Mass Effect.
-
B.
Amy Brooks
Amy Brooks is a fictional character from the television series "Dawson's Creek," known as the daughter of Joey Potter.
-
C.
Blaire Brooks
Blaire Brooks is an actress known for her role in the film "Like Father."
-
D.
Tamara Brooks
Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
-
E.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
- 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: Michelle Kholos Brooks Triple: [Max Brooks, spouse, Michelle Kholos Brooks]
Generated description
Michelle Kholos Brooks is an American playwright and writer known for her stage works and for being married to author Max Brooks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Kholos Brooks Target entity description: Michelle Kholos Brooks is an American playwright and writer known for her stage works and for being married to author Max Brooks.
-
A.
Kimberly Brooks
Kimberly Brooks is an American voice actress known for her work in animation and video games, including prominent roles in series like Steven Universe and Mass Effect.
-
B.
Amy Brooks
Amy Brooks is a fictional character from the television series "Dawson's Creek," known as the daughter of Joey Potter.
-
C.
Blaire Brooks
Blaire Brooks is an actress known for her role in the film "Like Father."
-
D.
Tamara Brooks
Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
-
E.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34c22a08190bf34f92f727268c5 |
completed | April 20, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab7b83f48190a0f4d13aa14c69b3 |
completed | May 15, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a07ace5a6488190a1d7fa3e3ec53c17 |
completed | May 15, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ad7c0de08190a1d07a50e248c73b |
completed | May 15, 2026, 11:34 p.m. |
Created at: April 10, 2026, 12:04 p.m.