Triple
T2432900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | id Software |
E52886
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Tom Hall
Tom Hall is an American game designer best known as one of the original co-founders and creative leads behind the pioneering video game company id Software.
|
E269479
|
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: Tom Hall | Statement: [id Software, foundedBy, Tom Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Hall Context triple: [id Software, foundedBy, Tom Hall]
-
A.
Ray Evans
Ray Evans was an American lyricist best known for writing classic popular songs and film music, often in collaboration with composer Jay Livingston.
-
B.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
C.
Chuck Mitchell
Chuck Mitchell is an American musician and former folk singer best known for his brief marriage and early musical partnership with Joni Mitchell in the 1960s.
-
D.
Bill Anderson
Bill Anderson is one of the three possible fathers and a central figure in the musical and film "Mamma Mia!", known for his adventurous, easygoing personality and past romance with Donna.
-
E.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
- 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: Tom Hall Triple: [id Software, foundedBy, Tom Hall]
Generated description
Tom Hall is an American game designer best known as one of the original co-founders and creative leads behind the pioneering video game company id Software.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Hall Target entity description: Tom Hall is an American game designer best known as one of the original co-founders and creative leads behind the pioneering video game company id Software.
-
A.
Ray Evans
Ray Evans was an American lyricist best known for writing classic popular songs and film music, often in collaboration with composer Jay Livingston.
-
B.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
C.
Chuck Mitchell
Chuck Mitchell is an American musician and former folk singer best known for his brief marriage and early musical partnership with Joni Mitchell in the 1960s.
-
D.
Bill Anderson
Bill Anderson is one of the three possible fathers and a central figure in the musical and film "Mamma Mia!", known for his adventurous, easygoing personality and past romance with Donna.
-
E.
Dan Foy
Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9c915e881908d97ae4ccc83ab53 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17864e9881909b32b70d55028016 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af185baf5c8190b8aa3dc672f2e1be |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18d8ab0881908ecd027080f96e0e |
completed | March 9, 2026, 7 p.m. |
Created at: March 6, 2026, 9:43 p.m.