Triple
T6334770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirt |
E142464
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sickman
Sickman is a character or element associated with the "Dirt" universe, likely representing a distinct persona, creature, or component within that setting.
|
E585970
|
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: Sickman | Statement: [Dirt, hasPart, Sickman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sickman Context triple: [Dirt, hasPart, Sickman]
-
A.
Ogden Rood
Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
-
B.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
C.
Zebulon
Zebulon is a masculine given name of Hebrew origin, traditionally associated with the biblical tribe of Zebulun.
-
D.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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: Sickman Triple: [Dirt, hasPart, Sickman]
Generated description
Sickman is a character or element associated with the "Dirt" universe, likely representing a distinct persona, creature, or component within that setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sickman Target entity description: Sickman is a character or element associated with the "Dirt" universe, likely representing a distinct persona, creature, or component within that setting.
-
A.
Ogden Rood
Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
-
B.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
C.
Zebulon
Zebulon is a masculine given name of Hebrew origin, traditionally associated with the biblical tribe of Zebulun.
-
D.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
E.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06549084c8190b73fd94c9e0cb302 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6042ab22c8190a7486049f45a546b |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c6056435b481908a63a880b7bcd489 |
completed | March 27, 2026, 4:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605f2369c819080fd52282b20437e |
completed | March 27, 2026, 4:22 a.m. |
Created at: March 22, 2026, 4:30 p.m.