Triple
T12884708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Ogg's |
E308195
|
entity |
| Predicate | hasFictionalRiver |
P49692
|
FINISHED |
| Object |
Floss
Floss is the fictional river that flows through the town of St. Ogg's in George Eliot's novel "The Mill on the Floss."
|
E1009643
|
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: Floss | Statement: [St. Ogg's, hasFictionalRiver, Floss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floss Context triple: [St. Ogg's, hasFictionalRiver, Floss]
-
A.
Toothflossing Stringmints
Toothflossing Stringmints are a magical confectionery from the Harry Potter universe that both freshen the mouth and function like dental floss, sold at the Honeydukes sweet shop in Hogsmeade.
-
B.
Finger
Finger is a common English surname borne by various individuals, including comic book writer Bill Finger.
-
C.
Fingers
"Fingers" is a 1978 American crime drama film about a troubled debt collector and aspiring pianist, directed by James Toback and starring Harvey Keitel.
-
D.
Flakes
Flakes is an indie comedy film centered on a quirky New Orleans cereal bar and its eccentric owner and staff.
-
E.
Felt
Felt is a surname most famously associated with Mark Felt, the former FBI official revealed to be the Watergate scandal informant "Deep Throat."
- 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: Floss Triple: [St. Ogg's, hasFictionalRiver, Floss]
Generated description
Floss is the fictional river that flows through the town of St. Ogg's in George Eliot's novel "The Mill on the Floss."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Floss Target entity description: Floss is the fictional river that flows through the town of St. Ogg's in George Eliot's novel "The Mill on the Floss."
-
A.
Toothflossing Stringmints
Toothflossing Stringmints are a magical confectionery from the Harry Potter universe that both freshen the mouth and function like dental floss, sold at the Honeydukes sweet shop in Hogsmeade.
-
B.
Finger
Finger is a common English surname borne by various individuals, including comic book writer Bill Finger.
-
C.
Fingers
"Fingers" is a 1978 American crime drama film about a troubled debt collector and aspiring pianist, directed by James Toback and starring Harvey Keitel.
-
D.
Flakes
Flakes is an indie comedy film centered on a quirky New Orleans cereal bar and its eccentric owner and staff.
-
E.
Felt
Felt is a surname most famously associated with Mark Felt, the former FBI official revealed to be the Watergate scandal informant "Deep Throat."
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5556fe081909ada9d491b21b17b |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a616f6e4819096c9850434882548 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a716bb2c81909dccc5ddbf3c92b5 |
completed | May 3, 2026, 1:38 a.m. |
Created at: April 9, 2026, 5:39 p.m.