Triple
T2576500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynne Thigpen |
E57787
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Novocaine
Novocaine is a 2001 dark comedy crime film starring Steve Martin as a dentist whose life unravels after an encounter with a mysterious patient.
|
E279965
|
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: Novocaine | Statement: [Lynne Thigpen, notableWork, Novocaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novocaine Context triple: [Lynne Thigpen, notableWork, Novocaine]
-
A.
Balemartine
Balemartine is a small coastal village located on the island of Tiree in Scotland’s Inner Hebrides.
-
B.
Sarine
The Sarine is a major river in western Switzerland that flows through the canton of Fribourg and ultimately joins the Aare.
-
C.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
D.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
E.
Substiane
Substiane is a La Roche-Posay skincare line formulated to address loss of firmness, density, and comfort in mature or aging skin.
- 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: Novocaine Triple: [Lynne Thigpen, notableWork, Novocaine]
Generated description
Novocaine is a 2001 dark comedy crime film starring Steve Martin as a dentist whose life unravels after an encounter with a mysterious patient.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novocaine Target entity description: Novocaine is a 2001 dark comedy crime film starring Steve Martin as a dentist whose life unravels after an encounter with a mysterious patient.
-
A.
Balemartine
Balemartine is a small coastal village located on the island of Tiree in Scotland’s Inner Hebrides.
-
B.
Sarine
The Sarine is a major river in western Switzerland that flows through the canton of Fribourg and ultimately joins the Aare.
-
C.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
D.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
E.
Substiane
Substiane is a La Roche-Posay skincare line formulated to address loss of firmness, density, and comfort in mature or aging skin.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a606e481909bcea46de468bb99 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6576a0a8819080d9241801675b19 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af669436208190901d1f34592c1a42 |
completed | March 10, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6760cf7c8190bb681f573828049e |
completed | March 10, 2026, 12:35 a.m. |
Created at: March 6, 2026, 9:49 p.m.