Triple
T13486672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brockmire |
E318520
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Mike Farah
Mike Farah is an American television and film producer best known as the longtime executive producer and CEO of Funny or Die.
|
E1043580
|
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: Mike Farah | Statement: [Brockmire, executiveProducer, Mike Farah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Farah Context triple: [Brockmire, executiveProducer, Mike Farah]
-
A.
Sean Faris
Sean Faris is an American actor and model best known for his roles in films like "Never Back Down" and television series such as "Life As We Know It."
-
B.
Lewis Farrell
Lewis Farrell is the charming, commitment-averse florist who becomes the romantic lead in the film "Bed of Roses."
-
C.
Johnny Farrell
Johnny Farrell is a small-time gambler who becomes entangled in a dangerous love triangle and criminal intrigue in the classic 1946 film noir "Gilda."
-
D.
Brian Fresco
Brian Fresco is a Chicago-based rapper known as a member of the SaveMoney collective alongside artists like Chance the Rapper and Vic Mensa.
-
E.
Dane Mills
Dane Mills is a musician best known as an early member of the Canadian indie rock band Arcade Fire.
- 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: Mike Farah Triple: [Brockmire, executiveProducer, Mike Farah]
Generated description
Mike Farah is an American television and film producer best known as the longtime executive producer and CEO of Funny or Die.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Farah Target entity description: Mike Farah is an American television and film producer best known as the longtime executive producer and CEO of Funny or Die.
-
A.
Sean Faris
Sean Faris is an American actor and model best known for his roles in films like "Never Back Down" and television series such as "Life As We Know It."
-
B.
Lewis Farrell
Lewis Farrell is the charming, commitment-averse florist who becomes the romantic lead in the film "Bed of Roses."
-
C.
Johnny Farrell
Johnny Farrell is a small-time gambler who becomes entangled in a dangerous love triangle and criminal intrigue in the classic 1946 film noir "Gilda."
-
D.
Brian Fresco
Brian Fresco is a Chicago-based rapper known as a member of the SaveMoney collective alongside artists like Chance the Rapper and Vic Mensa.
-
E.
Dane Mills
Dane Mills is a musician best known as an early member of the Canadian indie rock band Arcade Fire.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74638e2088190a126791f60b541c7 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74cb6cae881909563983a38311db7 |
completed | May 3, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74d5389f08190826f0e550c8bb6c2 |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 9, 2026, 9:42 p.m.