Triple
T560978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig T. Nelson |
E13448
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Monk
Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
|
E70296
|
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: Monk | Statement: [Craig T. Nelson, notableWork, Monk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monk Context triple: [Craig T. Nelson, notableWork, Monk]
-
A.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
B.
Monty
Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
-
C.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
D.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
E.
C. K. Dexter-Haven
C. K. Dexter-Haven is the charming, witty ex-husband of socialite Tracy Lord in the musical film "High Society," famously portrayed by Bing Crosby.
- 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: Monk Triple: [Craig T. Nelson, notableWork, Monk]
Generated description
Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monk Target entity description: Monk is an American comedy-drama detective television series centered on the brilliant but obsessive-compulsive private investigator Adrian Monk.
-
A.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
B.
Monty
Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
-
C.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
D.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
E.
C. K. Dexter-Haven
C. K. Dexter-Haven is the charming, witty ex-husband of socialite Tracy Lord in the musical film "High Society," famously portrayed by Bing Crosby.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499e2795c8190903240e79964156d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9bd6c44819094ba815966ca7937 |
completed | March 2, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69a4ea332c2081909a615287ad0629be |
completed | March 2, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4eadfefec81908fc3c2522fe79969 |
completed | March 2, 2026, 1:41 a.m. |
Created at: March 1, 2026, 7:32 p.m.