Triple
T3563397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Last Meal |
E75388
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Stacey Adams
"Stacey Adams" is a track featured on Snoop Dogg's 2000 hip-hop album "Tha Last Meal."
|
E370962
|
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: Stacey Adams | Statement: [Tha Last Meal, hasPart, Stacey Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacey Adams Context triple: [Tha Last Meal, hasPart, Stacey Adams]
-
A.
Shari Headley
Shari Headley is an American actress best known for her role as Lisa McDowell in the classic comedy film "Coming to America."
-
B.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
C.
Tracey Scott Wilson
Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
-
D.
Nadine Tolliver
Nadine Tolliver is a key fictional character in the political drama series "Madam Secretary," serving as the capable and loyal chief of staff to Secretary of State Elizabeth McCord.
-
E.
Marianne Stewart
Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
- 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: Stacey Adams Triple: [Tha Last Meal, hasPart, Stacey Adams]
Generated description
"Stacey Adams" is a track featured on Snoop Dogg's 2000 hip-hop album "Tha Last Meal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stacey Adams Target entity description: "Stacey Adams" is a track featured on Snoop Dogg's 2000 hip-hop album "Tha Last Meal."
-
A.
Shari Headley
Shari Headley is an American actress best known for her role as Lisa McDowell in the classic comedy film "Coming to America."
-
B.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
C.
Tracey Scott Wilson
Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
-
D.
Nadine Tolliver
Nadine Tolliver is a key fictional character in the political drama series "Madam Secretary," serving as the capable and loyal chief of staff to Secretary of State Elizabeth McCord.
-
E.
Marianne Stewart
Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a60e6c8190a3c3ddae5b6ded54 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402e8628c81909913974602782b7a |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b4040c823881909e5a89cee7d6f91e |
completed | March 13, 2026, 12:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4086f6da4819084778dffa33ef116 |
completed | March 13, 2026, 12:51 p.m. |
Created at: March 8, 2026, 3:21 p.m.