Triple
T4984844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerian Street |
E111974
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object |
Michael Street
Michael Street is an individual known primarily for being in conflict with Valerian Street.
|
E484210
|
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: Michael Street | Statement: [Valerian Street, conflictWith, Michael Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Street Context triple: [Valerian Street, conflictWith, Michael Street]
-
A.
Sam Street
Sam Street is an entrepreneur best known as a co-founder of the on-demand delivery service Postmates.
-
B.
Michael Silvers
Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
-
C.
Michael Unsworth
Michael Unsworth is a video game writer best known for his work on Rockstar Games titles such as the Red Dead Redemption series.
-
D.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
E.
Michael Jablow
Michael Jablow is a film editor best known for his work on major Hollywood movies, including the baseball comedy-drama "A League of Their Own."
- 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: Michael Street Triple: [Valerian Street, conflictWith, Michael Street]
Generated description
Michael Street is an individual known primarily for being in conflict with Valerian Street.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Street Target entity description: Michael Street is an individual known primarily for being in conflict with Valerian Street.
-
A.
Sam Street
Sam Street is an entrepreneur best known as a co-founder of the on-demand delivery service Postmates.
-
B.
Michael Silvers
Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
-
C.
Michael Unsworth
Michael Unsworth is a video game writer best known for his work on Rockstar Games titles such as the Red Dead Redemption series.
-
D.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
E.
Michael Jablow
Michael Jablow is a film editor best known for his work on major Hollywood movies, including the baseball comedy-drama "A League of Their Own."
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725766d88190b6fda860a005ce4e |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1891c48190b85bec5e97f75e44 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8afcf5f0819094fd6351a8f377cc |
completed | March 21, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b80af18819091efdfe242b7b477 |
completed | March 21, 2026, 12:13 p.m. |
Created at: March 20, 2026, 1:33 p.m.