Triple
T11458360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Sycamore |
E271585
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sycamore
Sycamore is a surname of English origin borne by various individuals, including the character Alice Sycamore.
|
E926758
|
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: Sycamore | Statement: [Alice Sycamore, familyName, Sycamore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sycamore Context triple: [Alice Sycamore, familyName, Sycamore]
-
A.
Sycamore
Sycamore is a small city in northern Illinois known for its historic downtown and annual Sycamore Pumpkin Festival.
-
B.
Sycamores
Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
-
C.
California sycamore
The California sycamore is a large, fast-growing deciduous tree native to California and the southwestern United States, known for its mottled bark, broad leaves, and preference for streamside and riparian habitats.
-
D.
Ahorn
Ahorn is a municipality in the Bavarian region of Germany, known for its rural character and proximity to the city of Coburg.
-
E.
West Poplar
West Poplar is a residential neighborhood in Philadelphia, Pennsylvania, known for its rowhouses, community redevelopment, and proximity to Center City.
- 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: Sycamore Triple: [Alice Sycamore, familyName, Sycamore]
Generated description
Sycamore is a surname of English origin borne by various individuals, including the character Alice Sycamore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sycamore Target entity description: Sycamore is a surname of English origin borne by various individuals, including the character Alice Sycamore.
-
A.
Sycamore
Sycamore is a small city in northern Illinois known for its historic downtown and annual Sycamore Pumpkin Festival.
-
B.
Sycamores
Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
-
C.
California sycamore
The California sycamore is a large, fast-growing deciduous tree native to California and the southwestern United States, known for its mottled bark, broad leaves, and preference for streamside and riparian habitats.
-
D.
Ahorn
Ahorn is a municipality in the Bavarian region of Germany, known for its rural character and proximity to the city of Coburg.
-
E.
West Poplar
West Poplar is a residential neighborhood in Philadelphia, Pennsylvania, known for its rowhouses, community redevelopment, and proximity to Center City.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e911c03c819081f1447b320dd2f2 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5eeb38d588190b51b6c299bb717dd |
completed | April 20, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f19dd3348190b037e09c87b528e9 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:35 p.m.